Triple
T33188194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Molly Anne Caffrey |
E849527
|
entity |
| Predicate | teamMembersInclude |
P7184
|
FINISHED |
| Object | scientists |
—
|
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: scientists | Statement: [Dr. Molly Anne Caffrey, teamMembersInclude, scientists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamMembersInclude Context triple: [Dr. Molly Anne Caffrey, teamMembersInclude, scientists]
-
A.
includedMembersOf
Indicates that certain members or elements are contained within, or form part of, a specified group or collection.
-
B.
teamIncludes
Indicates that a particular team has a specified member or entity as part of its composition.
-
C.
hasTeamMember
chosen
Indicates that an entity includes another entity as a member of its team.
-
D.
associatedTeamPrincipal
Indicates that there is a relationship in which a specific team principal is linked or connected to a particular team.
-
E.
creativeTeamMember
Indicates that an entity participates as a member of a team responsible for creative work or production.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.