Triple
T2811097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darvin Ham |
E54171
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Darvin Ham |
E54171
|
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: Darvin Ham | Statement: [Darvin Ham, name, Darvin Ham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darvin Ham Context triple: [Darvin Ham, name, Darvin Ham]
-
A.
Darvin Ham
chosen
Darvin Ham is an American former NBA player and current basketball coach known for serving as the head coach of the Los Angeles Lakers.
-
B.
Erik Spoelstra
Erik Spoelstra is a Filipino-American professional basketball coach best known for leading the Miami Heat to multiple NBA championships.
-
C.
Mick Cronin
Mick Cronin is an American college basketball coach best known for leading the UCLA Bruins and previously building a consistently successful program at the University of Cincinnati.
-
D.
Frank Vogel
Frank Vogel is an American professional basketball coach best known for leading the Los Angeles Lakers to the 2020 NBA championship and serving as head coach for multiple NBA franchises.
-
E.
Darryl Frank
Darryl Frank is an American television and film producer known for his work on high-profile series such as Falling Skies and other Amblin Television projects.
- 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_69ab49dcee188190b5c6eca9ae9e3469 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde354a5881908cd3d545f7dda81c |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce9a76388190a5dce756de2eb59f |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.