Triple
T2949268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Carter |
E79578
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Bessie Carter |
E307836
|
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: Bessie Carter | Statement: [Jim Carter, hasChild, Bessie Carter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bessie Carter Context triple: [Jim Carter, hasChild, Bessie Carter]
-
A.
Bessie Carter
chosen
Bessie Carter is an English actress known for roles in period dramas such as "Howards End" and "Bridgerton."
-
B.
Sarah Cloyce
Sarah Cloyce was a woman accused during the Salem witch trials, known for being the sister of fellow accused Rebecca Nurse and for later helping to challenge the legitimacy of the proceedings.
-
C.
Mary Barstow
Mary Barstow was the second wife of American illustrator Norman Rockwell and the mother of his three sons.
-
D.
Celia Mae
Celia Mae is the one-eyed, snake-haired receptionist at Monsters, Inc. and Mike Wazowski’s girlfriend in the Pixar animated film.
-
E.
Betty Jane Rase
Betty Jane Rase was an American woman best known for being one of the early wives of actor Mickey Rooney.
- 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_69ad8b1089588190b74d9e2505e45762 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98f95da88190a036a18f39f221c2 |
completed | March 8, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0869732d08190bdb6f6c76411ade1 |
completed | March 10, 2026, 9:01 p.m. |
Created at: March 8, 2026, 2:57 p.m.