Triple
T2431064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. Vann Woodward |
E52844
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Woodward |
E52844
|
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: Woodward | Statement: [C. Vann Woodward, hasSurname, Woodward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodward Context triple: [C. Vann Woodward, hasSurname, Woodward]
-
A.
Woodward
Woodward is a small city in northwestern Oklahoma that serves as a regional hub for agriculture, energy, and commerce.
-
B.
Woodward
chosen
Woodward is a surname most prominently associated with American investigative journalist Bob Woodward, known for his reporting on the Watergate scandal.
-
C.
Dunlap
Dunlap is a minor character in the play "Inherit the Wind," appearing as one of the townspeople involved in the trial’s tense, small-town atmosphere.
-
D.
Dunlap
Dunlap is a residential neighborhood in Seattle’s Rainier Valley known for its diverse community and proximity to Lake Washington.
-
E.
Howden
Howden is a historic market town in the East Riding of Yorkshire, England, known for its medieval Minster and traditional town centre.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9c767a88190b31cbccdce8e8982 |
completed | March 7, 2026, 6:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17864e9881909b32b70d55028016 |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:43 p.m.