Triple
T24881154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Teddy Bears |
E622710
|
entity |
| Predicate | hasMemberLaterCareer |
P75487
|
FINISHED |
| Object | Annette Kleinbard later became songwriter Carol Connors |
—
|
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: Annette Kleinbard later became songwriter Carol Connors | Statement: [The Teddy Bears, hasMemberLaterCareer, Annette Kleinbard later became songwriter Carol Connors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberLaterCareer Context triple: [The Teddy Bears, hasMemberLaterCareer, Annette Kleinbard later became songwriter Carol Connors]
-
A.
hasLaterMember
Indicates that one member in an ordered sequence occurs later than another member in that same sequence.
-
B.
hasMemberWhoHeldOccupation
Indicates that a group or collective entity includes at least one member who has held a specified occupation.
-
C.
laterMember
Indicates that one entity became a member of a group or organization at a later time than another entity.
-
D.
memberLaterOccupation
chosen
Indicates that an individual later held a particular occupation or position after an earlier point in time or role.
-
E.
hadMember
Indicates that an entity was formerly a member or part of another entity or group.
- 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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:24 a.m.