Triple
T7658642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merle Dixon |
E173447
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | Woodbury |
E426858
|
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: Woodbury | Statement: [Merle Dixon, affiliation, Woodbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodbury Context triple: [Merle Dixon, affiliation, Woodbury]
-
A.
Woodbury
Woodbury is a master-planned residential village within the city of Irvine, California, known for its organized neighborhoods, parks, and community amenities.
-
B.
Woodbury
chosen
Woodbury is an English-origin surname borne by various notable individuals, including American statesman and Supreme Court Justice Levi Woodbury.
-
C.
Woodbury, New York
Woodbury, New York is a suburban hamlet on Long Island known for its affluent residential neighborhoods, quality schools, and proximity to parks and nature preserves.
-
D.
Jaffrey
Jaffrey is a surname most notably associated with British actor and singer Raza Jaffrey.
-
E.
Lenola
Lenola is a small Italian town in the Lazio region, known for its historic hilltop setting and scenic views over the surrounding countryside.
- 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_69c69955517c819085bc715b96d304d2 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7019161548190855a5b1e9f5d7e99 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b0d345081909a1d4475fa3876f5 |
completed | March 29, 2026, 3:22 a.m. |
Created at: March 27, 2026, 3:59 p.m.