Triple
T20644509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orpheus S. Woodward |
E507317
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Woodward |
—
|
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: Woodward | Statement: [Orpheus S. Woodward, familyName, Woodward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodward Context triple: [Orpheus S. Woodward, familyName, Woodward]
-
A.
Woodward
chosen
Woodward is a surname most prominently associated with American investigative journalist Bob Woodward, known for his reporting on the Watergate scandal.
-
B.
Woodward
Woodward is a small city in northwestern Oklahoma that serves as a regional hub for agriculture, energy, and commerce.
-
C.
Woodward Eldora
Woodward Eldora is an action-sports training and recreation facility at Colorado’s Eldora Mountain Resort, offering terrain parks, progression features, and coaching for skiers and snowboarders.
-
D.
Nortrup
Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
-
E.
Forwood
Forwood is an English surname borne by various notable individuals, including actors and public figures.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1d0be481909e090193dcfd9cf6 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.