Triple
T1716236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dancer |
E37295
|
entity |
| Predicate | teamMemberOf |
P7184
|
FINISHED |
| Object | Santa Claus’s sleigh team |
—
|
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: Santa Claus’s sleigh team | Statement: [Dancer, teamMemberOf, Santa Claus’s sleigh team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamMemberOf Context triple: [Dancer, teamMemberOf, Santa Claus’s sleigh team]
-
A.
hasTeamMember
chosen
Indicates that an entity includes another entity as a member of its team.
-
B.
associatedTeam
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
-
C.
memberOfSportsTeamOwnershipGroup
Indicates that an entity is part of the ownership group that owns or controls a sports team.
-
D.
formerMemberOf
Indicates that an entity once belonged to or was affiliated with a group, organization, or body, but is no longer a member.
-
E.
memberEntities
Indicates that certain entities belong to, or are included as members within, a larger group or collection.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab7521878c8190b9e7739b8c3fc705 |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61bd46d48190915500d75a9d8e94 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.