Triple
T33519788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relaxed Muscle |
E858468
|
entity |
| Predicate | hasPseudonymForMember |
P3799
|
FINISHED |
| Object | Darren Spooner (Jarvis Cocker) |
—
|
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: Darren Spooner (Jarvis Cocker) | Statement: [Relaxed Muscle, hasPseudonymForMember, Darren Spooner (Jarvis Cocker)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPseudonymForMember Context triple: [Relaxed Muscle, hasPseudonymForMember, Darren Spooner (Jarvis Cocker)]
-
A.
usedPseudonym
chosen
Indicates that an entity performed an action or participated in a context under a name that was not their real or primary identity.
-
B.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
-
C.
pseudonymForRole
Indicates that a pseudonym is used specifically when an entity is acting in a particular role or capacity.
-
D.
revealedAsPseudonymIn
Indicates that one identity or name is disclosed or recognized as a pseudonym within a particular context, work, or source.
-
E.
hasFictionalAlias
Indicates that an entity is known by an alternative name or identity within a fictional context.
- F. None of above.
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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:39 a.m.