Triple
T13119195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thoroughbreds |
E311678
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Stephanie Atkinson
Stephanie Atkinson is an actress known for her role in the film "Thoroughbreds."
|
E1048910
|
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: Stephanie Atkinson | Statement: [Thoroughbreds, starring, Stephanie Atkinson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephanie Atkinson Context triple: [Thoroughbreds, starring, Stephanie Atkinson]
-
A.
Katherine Patrick
Katherine Patrick is the daughter of former Massachusetts governor Deval Patrick and has occasionally appeared in public alongside her politically prominent family.
-
B.
Adrienne Keith
Adrienne Keith is known as the spouse of British scientist, author, and television presenter Adam Hart-Davis.
-
C.
Sheila Garrett
Sheila Garrett was the wife of British actor Henry Wilcoxon, known for her long marriage to the prominent film and television performer.
-
D.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
E.
Diane Lester
Diane Lester is a key character in the financial thriller film "Money Monster," serving as a corporate communications chief entangled in the unfolding live-broadcast crisis.
- 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: Stephanie Atkinson Triple: [Thoroughbreds, starring, Stephanie Atkinson]
Generated description
Stephanie Atkinson is an actress known for her role in the film "Thoroughbreds."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stephanie Atkinson Target entity description: Stephanie Atkinson is an actress known for her role in the film "Thoroughbreds."
-
A.
Katherine Patrick
Katherine Patrick is the daughter of former Massachusetts governor Deval Patrick and has occasionally appeared in public alongside her politically prominent family.
-
B.
Adrienne Keith
Adrienne Keith is known as the spouse of British scientist, author, and television presenter Adam Hart-Davis.
-
C.
Sheila Garrett
Sheila Garrett was the wife of British actor Henry Wilcoxon, known for her long marriage to the prominent film and television performer.
-
D.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
E.
Diane Lester
Diane Lester is a key character in the financial thriller film "Money Monster," serving as a corporate communications chief entangled in the unfolding live-broadcast crisis.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b98a7c48190a2ca0ec7b9bd8d19 |
completed | May 3, 2026, 3:36 p.m. |
| NEDg | Description generation | batch_69f7763fc23c819098d46ab0906b8764 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7792110e48190a29b6e89c6ebcc03 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:06 p.m.