Triple
T23424995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pigeonhed |
E560769
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pigeonhed |
—
|
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: Pigeonhed | Statement: [Pigeonhed, notableWork, Pigeonhed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pigeonhed Context triple: [Pigeonhed, notableWork, Pigeonhed]
-
A.
Pigeonhed
chosen
Pigeonhed is an American electronic/alternative rock duo known for its genre-blending sound that incorporates elements of funk, soul, and trip-hop.
-
B.
Pidgeon
Pidgeon is a surname most notably associated with Canadian-American actor Walter Pidgeon, a prominent film star of Hollywood’s classic era.
-
C.
Single Pigeon
"Single Pigeon" is a gentle, piano-led song by Paul McCartney and Wings from their 1973 album Red Rose Speedway.
-
D.
Pigeaud
Pigeaud was a prominent scholar and philologist known for his extensive research and documentation of Javanese literature and culture.
-
E.
Pigeons from Hell
"Pigeons from Hell" is a classic Southern Gothic horror short story by Robert E. Howard, renowned for its eerie atmosphere and influential blend of supernatural terror and psychological suspense.
- 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_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54951688190a3c5382971af3e41 |
completed | April 29, 2026, 6:29 a.m. |
Created at: April 17, 2026, 5:47 p.m.