Triple
T5167220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenGL |
E116587
|
entity |
| Predicate | competesWith |
P1375
|
FINISHED |
| Object | Metal |
E121537
|
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: Metal | Statement: [OpenGL, competesWith, Metal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metal Context triple: [OpenGL, competesWith, Metal]
-
A.
Metal
chosen
Metal is Apple’s low-level, high-performance graphics and compute API used for rendering and GPU-accelerated processing across its platforms.
-
B.
Thrash
Thrash is the bird-themed mascot of the former NHL team the Atlanta Thrashers, known for his energetic and entertaining presence at games.
-
C.
Hard Rock
Hard Rock is a globally recognized entertainment and hospitality brand known for its rock-and-roll–themed restaurants, hotels, casinos, and music memorabilia.
-
D.
Rock
"Rock" is a popular Afrobeats/hip-hop song by Nigerian rapper and singer Olamide, known for its smooth melody and romantic lyrics.
-
E.
Rock
Rock is a common English surname borne by various notable individuals across fields such as business, entertainment, and sports.
- 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd792c5ea88190b6aa0e519c744155 |
completed | March 20, 2026, 4:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed93b85188190927d448e09a46425 |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:45 p.m.