Triple
T21855404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Whittaker |
E539611
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Panther |
—
|
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: Panther | Statement: [David Whittaker, notableWork, Panther]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panther Context triple: [David Whittaker, notableWork, Panther]
-
A.
Panther
The Panther is the fierce and agile feline mascot representing Clark Atlanta University’s athletic teams and school spirit.
-
B.
Panther
Panther is the NATO reporting name for the German World War II medium tank Panzerkampfwagen V, renowned for its powerful gun, sloped armor, and significant impact on armored warfare.
-
C.
Panther
chosen
"Panther" is a 1995 political drama film directed by Mario Van Peebles that dramatizes the rise and impact of the Black Panther Party in the United States.
-
D.
Panther
Panther is the codename for Mac OS X 10.3, a major early-2000s release of Apple’s Mac operating system known for performance improvements and new user interface features.
-
E.
Panther
Panther is the nickname of the German professional ice hockey club ERC Ingolstadt, reflecting the team's fierce and dynamic identity.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d635b59c81908810480f3802b847 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 16, 2026, 6:56 p.m.