Triple
T20173901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T. J. Watt |
E492039
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | John Watt |
—
|
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: John Watt | Statement: [T. J. Watt, relative, John Watt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Watt Context triple: [T. J. Watt, relative, John Watt]
-
A.
John Watt
chosen
John Watt is a member of the Watt family, known for producing multiple professional American football players including Derek Watt and his brothers.
-
B.
William Watt
William Watt was an Australian politician who served as Premier of Victoria and later as a senior federal minister and acting Prime Minister during World War I.
-
C.
Walter Watt
Walter Watt is an American local government official serving as the mayor of Muskegon Heights, Michigan.
-
D.
John Ballantyne
John Ballantyne is the amnesiac patient and central male protagonist in Alfred Hitchcock’s 1945 psychological thriller "Spellbound."
-
E.
William Stuart Symington Jr.
William Stuart Symington Jr. was an American businessman and Democratic politician who became the first U.S. Secretary of the Air Force and later served as a long-time U.S. Senator from Missouri.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684a33688190b22cfc16907e76bc |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:36 p.m.