Triple
T23362564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutherford Falls |
E593222
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Tom Howe |
—
|
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: Tom Howe | Statement: [Rutherford Falls, composer, Tom Howe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Howe Context triple: [Rutherford Falls, composer, Tom Howe]
-
A.
Tom Howe
chosen
Tom Howe is a British composer best known for his work on film and television scores, including the acclaimed series "Ted Lasso."
-
B.
Bob Houghton
Bob Houghton is an English football manager best known for his influential tactical innovations in the 1970s, including leading Malmö FF to the 1979 European Cup final.
-
C.
John Clemons
John Clemons is an individual whose specific public notability or profession is not clearly identifiable from the given information.
-
D.
Thomas Oaster
Thomas Oaster is an American men's rights advocate best known for initiating and promoting the observance that became International Men's Day.
-
E.
Joe Crawford
Joe Crawford is a former Major League Baseball umpire known for his long career and work in numerous postseason games.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aa0ed88190b0198cbfd1bcc59b |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:30 p.m.