Triple
T13503317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Conerly |
E320945
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Perian Conerly |
E1044455
|
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: Perian Conerly | Statement: [Charlie Conerly, notableRelative, Perian Conerly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perian Conerly Context triple: [Charlie Conerly, notableRelative, Perian Conerly]
-
A.
Perian Conerly
chosen
Perian Conerly was the wife of New York Giants quarterback Charlie Conerly and a noted sports columnist and writer in her own right.
-
B.
Maree Cheatham
Maree Cheatham is an American actress best known for her long-running roles in daytime soap operas and recurring appearances in film and television comedies.
-
C.
Molly Cochran
Molly Cochran is an American author best known for her fantasy and suspense novels, often blending historical elements with the supernatural.
-
D.
Colleen Farrington
Colleen Farrington was an American model and nightclub singer best known as the mother of actress Diane Lane.
-
E.
Doria Ragland
Doria Ragland is an American social worker, yoga instructor, and former makeup artist best known as the mother of Meghan, Duchess of Sussex.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf810e248190a060481004503f96 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9009688190b8f18bb3525c6afd |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:43 p.m.