Triple
T35646987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jen Tracy |
E1030036
|
entity |
| Predicate | hasLongTermProfessionalRelationshipWith |
P168294
|
FINISHED |
| Object | Jay Duplass |
—
|
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: Jay Duplass | Statement: [Jen Tracy, hasLongTermProfessionalRelationshipWith, Jay Duplass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongTermProfessionalRelationshipWith Context triple: [Jen Tracy, hasLongTermProfessionalRelationshipWith, Jay Duplass]
-
A.
hasProfessionalRelationshipWith
Indicates a formal, work-related connection or collaboration exists between the two entities in a professional context.
-
B.
isLongAssociatedWith
chosen
Indicates that one entity has been connected or involved with another entity over a long or extended period of time.
-
C.
isAssociatedWithProfessionOfBearer
Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
-
D.
establishedRelationship
Indicates that a formal, recognized relationship has been created and is now in effect between the referenced entities.
-
E.
worksInCloseRelationshipWith
Indicates a collaborative professional relationship in which two or more entities work together closely and interact frequently to achieve shared goals.
- 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff2eb19ad88190915fbbe08e8bc84e |
completed | May 9, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69ff2db5dd608190b7b7ba95f19c276c |
completed | May 9, 2026, 12:51 p.m. |
Created at: May 3, 2026, 4:05 p.m.