Triple
T15951216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazarus (Travie McCoy album) |
E386821
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Detail |
E245935
|
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: Detail | Statement: [Lazarus (Travie McCoy album), producer, Detail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Detail Context triple: [Lazarus (Travie McCoy album), producer, Detail]
-
A.
Detail
chosen
Detail is an American record producer and songwriter known for crafting hit R&B and hip-hop tracks for major artists such as Beyoncé and Lil Wayne.
-
B.
Detail
Detail is a musical artist known for collaborating with the band Revolver.
-
C.
Surface Detail
Surface Detail is a science fiction novel by Iain M. Banks set in his Culture universe, exploring virtual afterlives, war, and moral conflict on a galactic scale.
-
D.
Fine
Fine is the surname of Perle Fine, an American abstract expressionist painter associated with the New York School.
-
E.
Fine
"Fine" is a song featured on the album "Goodbye Bread" by American garage rock musician Ty Segall.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d59f5081909f6a81d578c4e2e8 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe78a76481909622d7a2443cba4d |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.