Triple
T7561108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinsey |
E178795
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Kinsey |
E178795
|
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: Kinsey | Statement: [Kinsey, title, Kinsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kinsey Context triple: [Kinsey, title, Kinsey]
-
A.
Kinsey
chosen
Kinsey is a 2004 biographical drama film about pioneering sex researcher Alfred Kinsey, starring Liam Neeson in the title role.
-
B.
Blakely
Blakely is a given name and surname of English origin that has become popular as a modern unisex first name.
-
C.
Dr. Madden
Dr. Madden is the psychiatrist in the rock musical "Next to Normal," who treats Diana Goodman and represents the medical approach to her mental illness.
-
D.
Keeler
Keeler is a surname most notably associated with James Edward Keeler, an American astronomer known for his pioneering work on Saturn's rings and spectroscopy.
-
E.
Kean
Kean is a surname most prominently associated with Thomas H. Kean, the former governor of New Jersey and chair of the 9/11 Commission.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f847c48190a1081aa9de7ff945 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d0cbfc8190b2cb2b601a7b078c |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:50 p.m.