Triple
T17120635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scanners |
E415454
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Jennifer O’Neill |
—
|
NE NERFINISHED |
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: Jennifer O’Neill | Statement: [Scanners, castMember, Jennifer O’Neill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer O’Neill Context triple: [Scanners, castMember, Jennifer O’Neill]
-
A.
Jennifer O’Neill
chosen
Jennifer O’Neill is an American actress and former model best known for her roles in films such as "Summer of ’42" and a variety of 1970s and 1980s movies and television productions.
-
B.
Susan O’Neill
Susan O’Neill was the wife of American film and stage actor Otto Kruger.
-
C.
Alison O’Brien
Alison O’Brien is a film producer known for her work on the 2019 animated adaptation of The Addams Family.
-
D.
Lisa O'Brien
Lisa O'Brien is the mother of American actor Dylan O'Brien, known for his roles in "Teen Wolf" and "The Maze Runner" film series.
-
E.
Christine Brennan
Christine Brennan is an American sports journalist, author, and television commentator known for her coverage of the Olympics and advocacy for women in sports.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e8092b548190b45c1695be47edc2 |
completed | April 18, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:36 a.m.