Triple
T20623345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Are 138 |
E506755
|
entity |
| Predicate | recordedBy |
P1165
|
FINISHED |
| Object | Franché Coma |
—
|
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: Franché Coma | Statement: [We Are 138, recordedBy, Franché Coma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Franché Coma Context triple: [We Are 138, recordedBy, Franché Coma]
-
A.
Franché Coma
chosen
Franché Coma is an American guitarist best known as an early member of the horror punk band Misfits, contributing to their formative recordings in the late 1970s.
-
B.
Cooma
Cooma is a town in New South Wales, Australia, known as a gateway to the Snowy Mountains and the Snowy Mountains Scheme.
-
C.
Coma
"Coma" is a lengthy, hard rock track by Guns N' Roses known for its complex structure, dark themes, and climactic intensity.
-
D.
Coma
Coma is a 1978 medical thriller film, based on Robin Cook’s novel, that explores a sinister conspiracy involving patients mysteriously falling into comas in a Boston hospital.
-
E.
Comas
Comas is a populous urban district in northern Lima, Peru, known for its residential neighborhoods and commercial activity within the Greater Lima metropolitan area.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe3177c8190ad1b2ca8b1e0a560 |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.