Triple
T17719329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theresa Randle |
E442289
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Randle |
—
|
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: Randle | Statement: [Theresa Randle, familyName, Randle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randle Context triple: [Theresa Randle, familyName, Randle]
-
A.
Randle
chosen
Randle is a surname most prominently associated with American professional basketball player Julius Randle of the NBA.
-
B.
Randle Mell
Randle Mell is an American actor known for his work in film, television, and theater, and for his long-term marriage to actress Mary McDonnell.
-
C.
Shavlik Randolph
Shavlik Randolph is an American professional basketball player and former NBA forward/center who also had a prominent career in the Chinese Basketball Association.
-
D.
Rio Durant
Rio Durant is a multi-armed Ardennian pilot and criminal operative in the Star Wars universe, best known for serving on Tobias Beckett’s crew in Solo: A Star Wars Story.
-
E.
Parker Bagley
Parker Bagley is an American actor best known for his roles in teen-oriented films and television series, including the comedy movie "Detention."
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e474844ff48190b1cf181eb9c113d9 |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:07 a.m.