Triple
T9661411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Woolley |
E233597
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Woolley |
E778989
|
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: Woolley | Statement: [Leonard Woolley, familyName, Woolley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woolley Context triple: [Leonard Woolley, familyName, Woolley]
-
A.
Woolley
chosen
Woolley is a surname most notably associated with American actor Monty Woolley, known for his distinguished stage and film career in the mid-20th century.
-
B.
Woolsey
Woolsey is a surname most notably associated with Theodore Dwight Woolsey, a prominent 19th-century American academic and president of Yale College.
-
C.
Witsell
Witsell is a party involved in the U.S. Supreme Court case Toomer v. Witsell, which addressed constitutional limits on state regulation of commercial fishing by nonresidents.
-
D.
Wallas
Wallas is a surname most notably associated with Graham Wallas, the British social psychologist and political scientist known for his work on democratic theory and the psychology of thought.
-
E.
Woolner
Woolner is an inner-city suburb of Darwin in the Northern Territory of Australia, known for its proximity to the central business district and mixed residential and light industrial areas.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c0a15e4819092ea0fb2cb6e1c12 |
completed | April 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a0ff7548190ae438c4a334058ac |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:14 p.m.