Triple
T9927023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Frances Robbins |
E187947
|
entity |
| Predicate | adoptiveFather |
P4385
|
FINISHED |
| Object | Loyal Davis |
E185836
|
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: Loyal Davis | Statement: [Anne Frances Robbins, adoptiveFather, Loyal Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loyal Davis Context triple: [Anne Frances Robbins, adoptiveFather, Loyal Davis]
-
A.
Loyal Davis
chosen
Loyal Davis was a prominent American neurosurgeon and medical professor who became the adoptive father of future First Lady Nancy Reagan.
-
B.
Ben Davis
Ben Davis is a British cinematographer known for his work on major films including several Marvel Cinematic Universe entries.
-
C.
Robert Davis
Robert Davis is an American real estate developer and urban planner best known for creating Seaside, Florida, a pioneering community in the New Urbanism movement.
-
D.
Luther Davis
Luther Davis was an American screenwriter and playwright known for his work on mid-20th-century film and stage productions.
-
E.
George Davis
George Davis was an actor known for appearing in early 20th-century films, including the silent comedy "The Circus."
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb59b85f88190899ea279fc02660f |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e1eace88190a591cbab02153869 |
completed | April 5, 2026, 7:24 a.m. |
Created at: March 30, 2026, 8:43 p.m.