Triple
T7943198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standing on the Shoulder of Giants |
E184437
|
entity |
| Predicate | associatedWithBandMemberDeparture |
P79946
|
FINISHED |
| Object | Bonehead departure |
—
|
LITERAL FINISHED |
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: Bonehead departure | Statement: [Standing on the Shoulder of Giants, associatedWithBandMemberDeparture, Bonehead departure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithBandMemberDeparture Context triple: [Standing on the Shoulder of Giants, associatedWithBandMemberDeparture, Bonehead departure]
-
A.
dateOfLeavingBand
Indicates the specific date on which a person stopped being a member of a particular band.
-
B.
hasBandMember
Indicates that a musical group includes a specific individual as one of its members.
-
C.
featuresFormerBandMemberOf
Indicates that the subject entity includes, highlights, or presents an individual who was previously a member of the referenced band.
-
D.
bandMemberContributor
Indicates that an entity contributes to a band in the role of a member, participating in its musical or creative activities.
-
E.
bandMemberOnRecording
Indicates that a person is a member of a band who performed on a specific recording.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0d31548190af54a2f3bbb8cad3 |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf788db1c8190839523e7777961d6 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:09 p.m.