Triple
T22336971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roone Arledge |
E552174
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Arledge |
—
|
NE NERFINISHED |
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: Arledge | Statement: [Roone Arledge, familyName, Arledge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arledge Context triple: [Roone Arledge, familyName, Arledge]
-
A.
Arledge
chosen
Arledge is the surname of Roone Arledge, the influential American television executive who transformed sports broadcasting and news programming.
-
B.
Aldredge
Aldredge is the surname of Theoni V. Aldredge, a renowned Greek-American costume designer celebrated for her work in theater and film.
-
C.
Easterbrook
Easterbrook is a surname most notably associated with American actress Leslie Easterbrook, known for her roles in the "Police Academy" film series and various television shows.
-
D.
Stottlemyre
Stottlemyre is a surname most notably associated with Mel Stottlemyre, a prominent Major League Baseball pitcher and longtime pitching coach.
-
E.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157804e60819094e2a903ace6f4b2 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.