Triple
T24202639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayley |
E600020
|
entity |
| Predicate | stableMember |
P155167
|
FINISHED |
| Object | Damage CTRL |
—
|
NE NERFINISHED |
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: Damage CTRL | Statement: [Bayley, stableMember, Damage CTRL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stableMember Context triple: [Bayley, stableMember, Damage CTRL]
-
A.
creditedMember
Indicates that a particular member is formally acknowledged or recognized as having contributed to or been responsible for something.
-
B.
activeMember
Indicates that an entity currently participates in and holds membership status within a group, organization, or community.
-
C.
boardMember
Indicates that a person serves on the governing board of an organization, participating in its oversight and decision-making.
-
D.
laterMember
Indicates that one entity became a member of a group or organization at a later time than another entity.
-
E.
foundingMember
Indicates that an entity is one of the original creators or initial participants involved in establishing another entity, such as an organization, group, or project.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca2d6708190ba20d00870d0af49 |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:36 p.m.