Triple
T34297710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassandra Kopelson |
E880076
|
entity |
| Predicate | isFellowInternOf |
P178867
|
FINISHED |
| Object | Emily Owens |
—
|
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: Emily Owens | Statement: [Cassandra Kopelson, isFellowInternOf, Emily Owens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFellowInternOf Context triple: [Cassandra Kopelson, isFellowInternOf, Emily Owens]
-
A.
indicatesFellowshipIn
Indicates that one entity holds a fellowship position, membership, or sponsored research role within another entity (such as an institution, organization, or program).
-
B.
isCollegialWith
Indicates a relationship where two entities interact in a cooperative, respectful, and professionally friendly manner, typically as peers or colleagues.
-
C.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
-
D.
isFlankerOf
Indicates that one entity occupies or performs the role of a flanker in relation to another entity, typically providing support or coverage from the side.
-
E.
hasColleagueOffice
Indicates that one entity has an office that is shared with or located near the office of another colleague entity.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71782422c81908196d5e4a610cb1a |
completed | May 3, 2026, 9:38 a.m. |
Created at: May 1, 2026, 1:57 a.m.