Triple
T13117248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angus Deaton |
E311125
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Deaton |
E311125
|
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: Deaton | Statement: [Angus Deaton, familyName, Deaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deaton Context triple: [Angus Deaton, familyName, Deaton]
-
A.
Deaton
chosen
Deaton is a surname most notably associated with individuals such as Nobel Prize–winning economist Angus Deaton.
-
B.
Erving
Erving is the surname of Julius Erving, the Hall of Fame American basketball player widely known as "Dr. J."
-
C.
Cunlhat
Cunlhat is a small rural commune in central France’s Puy-de-Dôme department, known for its traditional Auvergne countryside setting.
-
D.
Rogan
Rogan is a surname of Irish origin that is borne by various notable individuals across different fields.
-
E.
Bresnahan
Bresnahan is a surname most notably associated with early 20th-century American baseball player and Hall of Fame catcher Roger Bresnahan.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98182011c8190a504678affbb7787 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e284c3c881909d65e2ba89fbe7af |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:06 p.m.