Triple
T35895042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Kelly |
E1038195
|
entity |
| Predicate | partnerInGroup |
P56197
|
FINISHED |
| Object | Chris Smith |
—
|
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: Chris Smith | Statement: [Chris Kelly, partnerInGroup, Chris Smith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInGroup Context triple: [Chris Kelly, partnerInGroup, Chris Smith]
-
A.
partnerInOrganizationWith
Indicates that two entities are associated as partners within the same organization or organizational context.
-
B.
partnerInWorkOf
Indicates a collaborative relationship where one entity works together with another on a shared task, project, or professional activity.
-
C.
partnerInMission
Indicates that two or more entities collaborate as partners in carrying out the same mission or operation.
-
D.
partnerInMusicGroupWith
chosen
Indicates that two entities are members of the same music group or band, sharing a collaborative musical partnership.
-
E.
partnerInRuleWith
Indicates that two or more entities jointly participate as partners in establishing, enforcing, or being governed by the same rule or regulatory framework.
- 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_69f76e2190f88190beb2eed798a4ef01 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.