Triple
T13102715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gung Ho |
E310758
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Daniel P. Hanley |
—
|
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: Daniel P. Hanley | Statement: [Gung Ho, editor, Daniel P. Hanley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel P. Hanley Context triple: [Gung Ho, editor, Daniel P. Hanley]
-
A.
Daniel P. Hanley
chosen
Daniel P. Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
-
B.
Daniel P. Higgins
Daniel P. Higgins was an architect associated with the design work on the Jefferson Memorial in Washington, D.C.
-
C.
David P. Haney
David P. Haney is an American academic administrator who has served as president of Hiram College in Ohio.
-
D.
Allen M. Davey
Allen M. Davey was an American cinematographer known for his work on early Technicolor films in Hollywood.
-
E.
Leland J. Hamlin
Leland J. Hamlin is an individual notable enough to be specifically cited as a bearer of the Hamlin surname, though detailed public information about his life or achievements appears to be limited.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98153255c8190b6ab64ac0c4716f8 |
completed | April 10, 2026, 11:01 p.m. |
Created at: April 9, 2026, 9:04 p.m.