Triple
T22598259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trip at Knight |
E574742
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | OZ |
E648401
|
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: OZ | Statement: [Trip at Knight, producer, OZ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OZ Context triple: [Trip at Knight, producer, OZ]
-
A.
OZ
OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
-
B.
OZ
chosen
OZ is a Swiss record producer and songwriter best known for crafting chart-topping hip-hop and trap hits for artists like Travis Scott and Drake.
-
C.
Oz
Oz is a gritty HBO drama series set in a maximum-security prison, known for its dark, realistic portrayal of inmate life and institutional violence.
-
D.
Oz
Oz is a tree-lined, expert-focused peak and trail pod at Maine’s Sunday River ski resort, known for its challenging terrain and glade skiing.
-
E.
Oz
Oz is a Swiss record producer and songwriter known for crafting hit tracks for major hip-hop and R&B artists, including extensive work with Drake.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626aa0808190a43e65f6aaabfeb4 |
completed | April 29, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b4df558e8819096fc5446c268160e |
completed | May 18, 2026, 5:35 p.m. |
Created at: April 17, 2026, 2:50 p.m.