Triple
T4108542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmad Jamal |
E88512
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Argo Records |
E253148
|
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: Argo Records | Statement: [Ahmad Jamal, recordLabel, Argo Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argo Records Context triple: [Ahmad Jamal, recordLabel, Argo Records]
-
A.
Argo Records
chosen
Argo Records was a prominent mid-20th-century American record label known for its influential jazz, blues, and R&B releases.
-
B.
Elektra Records
Elektra Records is a prominent American record label known for signing influential rock, folk, and alternative artists since the mid-20th century.
-
C.
Vertigo Records
Vertigo Records is a British record label best known for releasing progressive rock and heavy metal albums, particularly during the 1970s and 1980s.
-
D.
Erato Records
Erato Records is a French classical music record label renowned for its high-quality recordings and strong focus on Baroque and early music repertoire.
-
E.
Alamo Records
Alamo Records is an American record label known for signing prominent hip-hop and rap artists, including Lil Durk.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01da2b88819088a45401c0ec743a |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b850d588190a0fc4b784bc7ca4f |
completed | March 14, 2026, 2:07 p.m. |
Created at: March 9, 2026, 3:40 p.m.