Triple
T30239079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Coughlin |
E768855
|
entity |
| Predicate | relationshipTypeWith Brian Flanagan |
P203826
|
FINISHED |
| Object | mentor–protégé |
—
|
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: mentor–protégé | Statement: [Doug Coughlin, relationshipTypeWith Brian Flanagan, mentor–protégé]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWith Brian Flanagan Context triple: [Doug Coughlin, relationshipTypeWith Brian Flanagan, mentor–protégé]
-
A.
relationshipStatusWithBrian
Indicates the current nature or state of an entity’s personal relationship with Brian.
-
B.
relationshipTypeWithSean Maguire
Indicates the specific nature or category of relationship that an entity has with Sean Maguire.
-
C.
hasRelationshipTypeWith Fran Fine
Indicates that an entity is connected to Fran Fine by a specific, categorized type of relationship (e.g., familial, professional, romantic, or social).
-
D.
relationshipTypeWith Corie Bratter
Indicates the specific nature or category of relationship that an entity has with Corie Bratter.
-
E.
relationshipTypeWith Eugene Gant
Indicates the specific nature or category of relationship that an entity has with Eugene Gant.
- 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a02145017b08190bd424cc647c08d3b |
completed | May 11, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_6a021338e2b08190980c489ee44c18b3 |
completed | May 11, 2026, 5:34 p.m. |
| PDg | Predicate description generation | batch_6a02144f627c81909ead77e8e6b8f84f |
completed | May 11, 2026, 5:39 p.m. |
Created at: April 29, 2026, 7:38 p.m.