Triple
T7288446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago P.D. |
E163932
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Hailey Upton
Hailey Upton is a fictional detective in the Chicago Police Department’s Intelligence Unit on the television series "Chicago P.D.," known for her tough, resourceful, and morally driven approach to police work.
|
E653934
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hailey Upton | Statement: [Chicago P.D., character, Hailey Upton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hailey Upton Context triple: [Chicago P.D., character, Hailey Upton]
-
A.
Hailie Jade Scott
Hailie Jade Scott is the daughter of American rapper Eminem, frequently referenced in his music and public life.
-
B.
Hailey
Hailey is a parish in Hertfordshire, England, associated with the town of Haileybury.
-
C.
Hailey
Hailey is a small rural village located within the district of West Oxfordshire in England.
-
D.
Haley Loraine Keeling
Haley Loraine Keeling, known professionally as Haley Bennett, is an American actress and singer recognized for her roles in films such as "The Girl on the Train," "Swallow," and "The Magnificent Seven."
-
E.
Addison Clark
Addison Clark was an American educator and co-founder of Texas Christian University, playing a key role in its early development and leadership.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hailey Upton Triple: [Chicago P.D., character, Hailey Upton]
Generated description
Hailey Upton is a fictional detective in the Chicago Police Department’s Intelligence Unit on the television series "Chicago P.D.," known for her tough, resourceful, and morally driven approach to police work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hailey Upton Target entity description: Hailey Upton is a fictional detective in the Chicago Police Department’s Intelligence Unit on the television series "Chicago P.D.," known for her tough, resourceful, and morally driven approach to police work.
-
A.
Hailie Jade Scott
Hailie Jade Scott is the daughter of American rapper Eminem, frequently referenced in his music and public life.
-
B.
Hailey
Hailey is a parish in Hertfordshire, England, associated with the town of Haileybury.
-
C.
Hailey
Hailey is a small rural village located within the district of West Oxfordshire in England.
-
D.
Haley Loraine Keeling
Haley Loraine Keeling, known professionally as Haley Bennett, is an American actress and singer recognized for her roles in films such as "The Girl on the Train," "Swallow," and "The Magnificent Seven."
-
E.
Addison Clark
Addison Clark was an American educator and co-founder of Texas Christian University, playing a key role in its early development and leadership.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6a73fc8190ae5ce81fd3e46d87 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db4671e08190874d5e099e883509 |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7dbc1ff0c8190bc7639a74a5d3af3 |
completed | March 28, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dc6873a081908ea4e953430ec20b |
completed | March 28, 2026, 1:49 p.m. |
Created at: March 27, 2026, 3 p.m.