Triple
T5196437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Fitzpatrick |
E117284
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sean Fitzpatrick |
E117284
|
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: Sean Fitzpatrick | Statement: [Sean Fitzpatrick, name, Sean Fitzpatrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Fitzpatrick Context triple: [Sean Fitzpatrick, name, Sean Fitzpatrick]
-
A.
Sean Fitzpatrick
chosen
Sean Fitzpatrick is a legendary former New Zealand rugby union hooker widely regarded as one of the greatest players and leaders in All Blacks history.
-
B.
Brian Fitzpatrick
Brian Fitzpatrick is an American Republican politician and former FBI agent who has served as a U.S. Representative from Pennsylvania.
-
C.
Brian Kavanagh
Brian Kavanagh is a film editor best known for his work on notable Australian and international films, including the drama "The Devil's Playground."
-
D.
Sean Maguire
Sean Maguire is the compassionate, tough-minded therapist and widowed professor who mentors Will Hunting in the film "Good Will Hunting."
-
E.
Sean Kilpatrick
Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a1c2184819083f4b1d8830bebae |
completed | March 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf28faec0081909ed017ee7514ced2 |
completed | March 21, 2026, 11:25 p.m. |
Created at: March 20, 2026, 1:46 p.m.