Triple
T7538575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butterfield 8 |
E178212
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Harold F. Kress |
E155211
|
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: Harold F. Kress | Statement: [Butterfield 8, editor, Harold F. Kress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harold F. Kress Context triple: [Butterfield 8, editor, Harold F. Kress]
-
A.
Harold F. Kress
chosen
Harold F. Kress was an American film editor renowned for his work on numerous classic Hollywood films and for winning multiple Academy Awards for Best Film Editing.
-
B.
Arthur M. Bueche
Arthur M. Bueche was an influential engineer and research executive whose leadership in advancing technology and public policy in industry led to a prestigious engineering award being named in his honor.
-
C.
Harold M. Shaw
Harold M. Shaw was an early American film director and actor known for his pioneering work in silent cinema during the 1910s.
-
D.
Harold C. Mayer
Harold C. Mayer was an American financier best known as one of the co-founders of the investment bank Bear Stearns.
-
E.
Frank Seiberling
Frank Seiberling was an American industrialist best known for founding the Goodyear Tire & Rubber Company, which became one of the world’s leading tire manufacturers.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8710400819088e430c8c550577e |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f14d20c8190ab254f991cec0d94 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.