Triple
T36858022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Sue and Her Society Syncopators |
E910849
|
entity |
| Predicate | hasBandManager |
P195024
|
FINISHED |
| Object | Beinstock |
—
|
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: Beinstock | Statement: [Sweet Sue and Her Society Syncopators, hasBandManager, Beinstock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBandManager Context triple: [Sweet Sue and Her Society Syncopators, hasBandManager, Beinstock]
-
A.
hasBand
Indicates that an entity is associated with or includes a particular band (e.g., musical group or band-like unit).
-
B.
hasRoleInBand
Indicates that an entity holds a specific role or position within a band.
-
C.
hasStationManager
Indicates that an entity has another entity serving as its station manager.
-
D.
hasBandMember
Indicates that a musical group includes a specific individual as one of its members.
-
E.
usesBand
Indicates that one entity employs or makes use of a particular band (such as a group, frequency band, or band resource) in performing an action or fulfilling a function.
- F. None of above. chosen
Provenance (4 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69fd974c0e8481909fdd312897c647b3 |
completed | May 8, 2026, 7:57 a.m. |
Created at: May 3, 2026, 4:13 p.m.