Triple
T21481183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Selleck |
E529996
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Thomas William Selleck |
—
|
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: Thomas William Selleck | Statement: [Tom Selleck, birthName, Thomas William Selleck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas William Selleck Context triple: [Tom Selleck, birthName, Thomas William Selleck]
-
A.
Tom Selleck
chosen
Tom Selleck is an American actor best known for his starring role as private investigator Thomas Magnum in the television series "Magnum, P.I."
-
B.
Robert Davi
Robert Davi is an American actor, singer, and director best known for his tough-guy roles in films such as "Die Hard" and the James Bond movie "Licence to Kill."
-
C.
Richard Gere
Richard Gere is an American actor known for his leading roles in films such as "American Gigolo," "An Officer and a Gentleman," and "Pretty Woman."
-
D.
Ian George
Ian George is an Australian Anglican bishop who served as the Archbishop of Adelaide, leading the Anglican Church in South Australia.
-
E.
Jeremy Grey
Jeremy Grey is a charismatic, fast-talking divorce mediator and womanizer portrayed by Vince Vaughn in the comedy film "Wedding Crashers."
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea338f988190a3044f8d02a567fe |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:21 p.m.