Triple
T9391935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Connors |
E226045
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Connors |
E121657
|
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: Connors | Statement: [Chuck Connors, familyName, Connors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connors Context triple: [Chuck Connors, familyName, Connors]
-
A.
Newcombe
Newcombe is a surname of English origin borne by various notable individuals in fields such as sports, science, and public life.
-
B.
Evert
Evert is a given name and surname of Germanic origin, used as a variant of names like Everett.
-
C.
Kay McEnroe
Kay McEnroe is the mother of tennis legend John McEnroe and part of the McEnroe family known for its prominence in professional tennis.
-
D.
Jimmy Connors
chosen
Jimmy Connors is a legendary American tennis player known for his fierce competitiveness, powerful baseline game, and record-setting longevity on the professional tour.
-
E.
Larcher
Larcher is a French surname most notably borne by Gérard Larcher, a prominent French politician and long-serving President of the Senate.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510eae0c8190b7c4ab487a366bb3 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1010169d88190a7267615a9196d4b |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:45 p.m.