Triple
T10789794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Baker |
E254547
|
entity |
| Predicate | spouseOf |
P13
|
FINISHED |
| Object | Nancy Dickson |
E254547
|
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 Dickson | Statement: [James Baker, spouseOf, Nancy Dickson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nancy Dickson Context triple: [James Baker, spouseOf, Nancy Dickson]
-
A.
Nancy Dickson
chosen
Nancy Dickson is known as the wife of American attorney and statesman James Baker, who served in several high-level U.S. government positions.
-
B.
Nancy Cummings
Nancy Cummings was the daughter of American poet E. E. Cummings, known primarily through biographical accounts of his personal life.
-
C.
Nancy Gates
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.
-
D.
Nancy Birch
Nancy Birch is the central character in the film "Prisoners," around whom the story’s mystery and emotional tension revolve.
-
E.
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.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732f4b1388190a1364e56a90e8388 |
completed | April 9, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1ab899081908f16439de65f442b |
completed | May 6, 2026, 8:16 p.m. |
Created at: April 8, 2026, 9:17 p.m.