Triple
T35776196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Remedy |
E1034296
|
entity |
| Predicate | creatorMemberCount |
P200289
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [The Remedy, creatorMemberCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorMemberCount Context triple: [The Remedy, creatorMemberCount, 4]
-
A.
creatorMember
Indicates that an entity is a member who created or originally authored another entity (such as a work, item, or resource).
-
B.
numberOfMembersDeterminedBy
Indicates that the quantity of members in one entity is defined or constrained by another entity or factor.
-
C.
memberAssociationCount
Indicates the number of associations or group memberships linked to a given member.
-
D.
originalNumberOfMembers
Indicates the initial total count of members in a group or organization before any changes such as additions or removals.
-
E.
numberOfPotentialMembers
Indicates the total count of entities that could potentially become members of a specified group or organization.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff7eb7189c81909a8f73fbc4c48e02 |
completed | May 9, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69ff7e54e11081908fb5ce10c5aa7b53 |
completed | May 9, 2026, 6:35 p.m. |
| PDg | Predicate description generation | batch_69ff7eb638c48190aeca7b85b9b698ab |
completed | May 9, 2026, 6:36 p.m. |
Created at: May 3, 2026, 4:06 p.m.