Triple
T6351378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Love |
E142877
|
entity |
| Predicate | hasNumberOfMembersOnRecording |
P45752
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [One Love, hasNumberOfMembersOnRecording, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfMembersOnRecording Context triple: [One Love, hasNumberOfMembersOnRecording, 6]
-
A.
bandMemberOnRecording
Indicates that a person is a member of a band who performed on a specific recording.
-
B.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
C.
membersCalled
Indicates that specific members of a group or collection are being referred to or identified by a particular name or label.
-
D.
hadNumberOfMembers
chosen
Indicates that an entity possessed or was associated with a specific count of members at a given time or in a given context.
-
E.
hasCurrentNumberOfMembers
Indicates the current count of members associated with a given entity.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dc2790819084aaf7067dc25733 |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:31 p.m.