Triple
T23165019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Needle in the Hay |
E578689
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Tony Lash |
—
|
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: Tony Lash | Statement: [Needle in the Hay, producer, Tony Lash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Lash Context triple: [Needle in the Hay, producer, Tony Lash]
-
A.
Tony Lash
chosen
Tony Lash is an American musician and producer best known as the drummer for the Portland indie rock band Heatmiser.
-
B.
Alan Richards
Alan Richards is a fictional character who appears in Upton Sinclair’s novel "The Jungle," contributing to its portrayal of immigrant life and labor struggles in early 20th-century Chicago.
-
C.
Stephen P. Graham
Stephen P. Graham is a distinguished member of the prominent Graham family, recognized for his professional achievements and public prominence.
-
D.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
E.
Gary W. Cox
Gary W. Cox is a prominent political scientist known for his influential work on legislative institutions, party organization, and electoral systems.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2bca4881909f6148d588948018 |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.