Triple
T6332910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cruella |
E142423
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Kristin Burr
Kristin Burr is a film producer known for her work on major studio projects, including Disney live-action adaptations such as "Cruella."
|
E645913
|
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: Kristin Burr | Statement: [Cruella, producer, Kristin Burr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristin Burr Context triple: [Cruella, producer, Kristin Burr]
-
A.
Kristi Bonnett
Kristi Bonnett is known as the daughter of the late NASCAR Cup Series driver Neil Bonnett.
-
B.
Kristin Rusk Robinson
Kristin Rusk Robinson is a screenwriter best known for her work on the animated musical television special and film project "Entergalactic."
-
C.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
-
D.
Kristin Westphalen
Kristin Westphalen is a central character in the science fiction TV series "seaQuest DSV," serving as the submarine's chief medical officer and science advisor.
-
E.
Krista Harmon
Krista Harmon is a member of the Harmon family, known for her connection to American actress and artist Kristin Harmon.
- 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: Kristin Burr Triple: [Cruella, producer, Kristin Burr]
Generated description
Kristin Burr is a film producer known for her work on major studio projects, including Disney live-action adaptations such as "Cruella."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristin Burr Target entity description: Kristin Burr is a film producer known for her work on major studio projects, including Disney live-action adaptations such as "Cruella."
-
A.
Kristi Bonnett
Kristi Bonnett is known as the daughter of the late NASCAR Cup Series driver Neil Bonnett.
-
B.
Kristin Rusk Robinson
Kristin Rusk Robinson is a screenwriter best known for her work on the animated musical television special and film project "Entergalactic."
-
C.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
-
D.
Kristin Westphalen
Kristin Westphalen is a central character in the science fiction TV series "seaQuest DSV," serving as the submarine's chief medical officer and science advisor.
-
E.
Krista Harmon
Krista Harmon is a member of the Harmon family, known for her connection to American actress and artist Kristin Harmon.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06517a1e88190a0bfcac8a7e3a305 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad6002b48190a3c95b704e700c56 |
completed | March 28, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_69c7af5c05508190af4232d66aa89130 |
completed | March 28, 2026, 10:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7afbfb0a88190ac8443edc71eb0d4 |
completed | March 28, 2026, 10:38 a.m. |
Created at: March 22, 2026, 4:30 p.m.