Triple
T2351747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Faculty |
E47462
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Casey Connor
Casey Connor is the shy, observant high school student who becomes an unlikely hero in the sci-fi horror film "The Faculty."
|
E259914
|
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: Casey Connor | Statement: [The Faculty, mainCharacter, Casey Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casey Connor Context triple: [The Faculty, mainCharacter, Casey Connor]
-
A.
Casey Stoney
Casey Stoney is a former England international defender who has become a prominent women's football manager, known for her successful coaching roles in top-level clubs.
-
B.
Casey Patterson
Casey Patterson is a television producer known for creating and overseeing popular entertainment and live event programming.
-
C.
Cameron McLaughlin
Cameron McLaughlin is a film editor known for his work on Guillermo del Toro’s 2021 neo-noir psychological thriller "Nightmare Alley."
-
D.
Brennan Carroll
Brennan Carroll is an American football coach and the son of longtime NFL and college head coach Pete Carroll.
-
E.
Alex Convery
Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
- 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: Casey Connor Triple: [The Faculty, mainCharacter, Casey Connor]
Generated description
Casey Connor is the shy, observant high school student who becomes an unlikely hero in the sci-fi horror film "The Faculty."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Casey Connor Target entity description: Casey Connor is the shy, observant high school student who becomes an unlikely hero in the sci-fi horror film "The Faculty."
-
A.
Casey Stoney
Casey Stoney is a former England international defender who has become a prominent women's football manager, known for her successful coaching roles in top-level clubs.
-
B.
Casey Patterson
Casey Patterson is a television producer known for creating and overseeing popular entertainment and live event programming.
-
C.
Cameron McLaughlin
Cameron McLaughlin is a film editor known for his work on Guillermo del Toro’s 2021 neo-noir psychological thriller "Nightmare Alley."
-
D.
Brennan Carroll
Brennan Carroll is an American football coach and the son of longtime NFL and college head coach Pete Carroll.
-
E.
Alex Convery
Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f8ff548190b07505310e2bf0b9 |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea884ac4c8190b484db995251c136 |
completed | March 9, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69aea92cc66c81909a46b83200960fe2 |
completed | March 9, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aea9b8dff08190a09f0c965dfd6738 |
completed | March 9, 2026, 11:06 a.m. |
Created at: March 4, 2026, 7:54 p.m.