Triple
T22865855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walking Papers |
E567050
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Barrett Martin |
—
|
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: Barrett Martin | Statement: [Walking Papers, member, Barrett Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barrett Martin Context triple: [Walking Papers, member, Barrett Martin]
-
A.
Barrett Martin
chosen
Barrett Martin is an American drummer and percussionist best known for his work with the grunge-era supergroup Mad Season and the rock band Screaming Trees.
-
B.
Michael Barrett
Michael Barrett is a creator known for developing the work titled "The Choice."
-
C.
Michael Barrett
Michael Barrett is an American cinematographer known for his work on numerous feature films and television projects, including mainstream comedies and action movies.
-
D.
Ben Fordesman
Ben Fordesman is a cinematographer known for his work on the film "Love Lies Bleeding."
-
E.
Ron Barrett
Ron Barrett is an American illustrator best known for his whimsical artwork in the classic children's book "Cloudy with a Chance of Meatballs."
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f00f21081909b771610549c5757 |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.