Triple
T4097156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Gates |
E87848
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nancy Gates |
E87848
|
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: Nancy Gates | Statement: [Nancy Gates, name, Nancy Gates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Gates Context triple: [Nancy Gates, name, Nancy Gates]
-
A.
Nancy Gates
chosen
Nancy Gates was an American film and television actress active from the 1940s through the 1960s, known for her roles in dramas, film noirs, and romantic comedies.
-
B.
Nancy Dickson
Nancy Dickson is known as the wife of American attorney and statesman James Baker, who served in several high-level U.S. government positions.
-
C.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
-
D.
Nancy Wheeler
Nancy Wheeler is a determined and resourceful teenager in the series "Stranger Things," known for her investigative instincts and courage in confronting supernatural threats.
-
E.
Nancy Dow
Nancy Dow was an American actress and model best known as the mother of Jennifer Aniston.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcdef11081908c626a89f2c0e121 |
completed | March 9, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c787e303108190ab14b67c338b1377 |
completed | March 28, 2026, 7:48 a.m. |
Created at: March 9, 2026, 3:40 p.m.