Triple
T8065631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montrezl Harrell |
E188236
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Harrell |
E541983
|
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: Harrell | Statement: [Montrezl Harrell, familyName, Harrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harrell Context triple: [Montrezl Harrell, familyName, Harrell]
-
A.
Harrell
chosen
Harrell is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
B.
Brantley
Brantley is a small town located in Crenshaw County in the state of Alabama, United States.
-
C.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
-
D.
LeRoy
LeRoy is the middle name of American political consultant and Republican strategist Lee Atwater.
-
E.
Helton
Helton is a surname most prominently associated with former Major League Baseball first baseman Todd Helton, a longtime star for the Colorado Rockies.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff5547c8190a7ec5958a23e302f |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e1ed44819083ed9db6c9d7b0fd |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.