Triple
T16144037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyronn Lue |
E391732
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lue |
E1195843
|
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: Lue | Statement: [Tyronn Lue, familyName, Lue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lue Context triple: [Tyronn Lue, familyName, Lue]
-
A.
Lue
chosen
Lue is the surname of Tyronn Jamar Lue, a former NBA player and current professional basketball coach.
-
B.
Lue
Lue is a small rural village in New South Wales, Australia, known for its historic charm and surrounding wine and farming country.
-
C.
Luenell
Luenell is an American comedian and actress best known for her bold, irreverent stand-up and memorable supporting roles in film and television.
-
D.
Léez
Léez is a river in southwestern France that serves as a tributary within the Gave de Pau river system.
-
E.
Lees
Lees is a village in the Metropolitan Borough of Oldham, Greater Manchester, England, historically part of Lancashire.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d91925c81909839a4e2f189d23b |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a59c0481908eb346efaf10a0f6 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.