Triple
T8162194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brendan Fraser |
E190601
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Brendan James Fraser |
E190601
|
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: Brendan James Fraser | Statement: [Brendan Fraser, birthName, Brendan James Fraser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brendan James Fraser Context triple: [Brendan Fraser, birthName, Brendan James Fraser]
-
A.
Brendan Fraser
chosen
Brendan Fraser is a Canadian-American actor best known for his roles in films like "The Mummy" series, "George of the Jungle," and his Oscar-winning performance in "The Whale."
-
B.
James Gardner
James Gardner is a relatively common personal name shared by multiple notable individuals across fields such as politics, the arts, and academia.
-
C.
Jeremy Grey
Jeremy Grey is a charismatic, fast-talking divorce mediator and womanizer portrayed by Vince Vaughn in the comedy film "Wedding Crashers."
-
D.
Jeff Crowe
Jeff Crowe is a former New Zealand cricketer who played as a middle-order batsman and later became an ICC match referee.
-
E.
Peter Facinelli
Peter Facinelli is an American actor best known for playing Dr. Carlisle Cullen in the Twilight film series.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4556b45c819089eb15ad027b036a |
completed | March 31, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced4e6efc8190a74aea4ab213298b |
completed | April 1, 2026, 10:02 a.m. |
Created at: March 30, 2026, 5:38 p.m.