Triple
T15496458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Craft |
E378829
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Neve Campbell |
E114175
|
NE FINISHED |
How this triple was built (2 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: Neve Campbell | Statement: [The Craft, castMember, Neve Campbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neve Campbell Context triple: [The Craft, castMember, Neve Campbell]
-
A.
Neve Campbell
chosen
Neve Campbell is a Canadian actress best known for her leading roles in the Scream horror film franchise and the television series Party of Five.
-
B.
Julia Carpenter
Julia Carpenter is a Marvel Comics superheroine best known as the second Spider-Woman and later as the psychic web-wielding heroine Arachne and the new Madame Web.
-
C.
Ali Larter
Ali Larter is an American actress and former model best known for her roles in films like "Final Destination" and "Legally Blonde" and the TV series "Heroes."
-
D.
Sarah Michelle Gellar
Sarah Michelle Gellar is an American actress best known for her iconic role as Buffy Summers in the television series "Buffy the Vampire Slayer."
-
E.
Shannyn Sossamon
Shannyn Sossamon is an American actress and musician known for her roles in early 2000s films such as "A Knight's Tale" and various independent and genre movies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03faecd60819091eeaa56c9c8f67d |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56b9238081908fb2e6a7dcc2296f |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 3:52 a.m.