Triple
T26631518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Campbell |
E668506
|
entity |
| Predicate | initialRelationshipWithGerryBertier |
P164846
|
FINISHED |
| Object | conflict |
—
|
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: conflict | Statement: [Julius Campbell, initialRelationshipWithGerryBertier, conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialRelationshipWithGerryBertier Context triple: [Julius Campbell, initialRelationshipWithGerryBertier, conflict]
-
A.
relationshipTypeWith Eugene Gant
Indicates the specific nature or category of relationship that an entity has with Eugene Gant.
-
B.
relationshipTypeWithDmitriGurov
Indicates the specific nature or category of the relationship that an entity has with Dmitri Gurov.
-
C.
relationshipToBobinot
Indicates the nature or type of relationship that one entity has with Bobinot.
-
D.
relationshipToTerry
Indicates the specific type of personal or social relationship that one entity has with Terry.
-
E.
relationshipTypeWithBobbyBoucher
Indicates the specific nature or category of relationship that an entity has with Bobby Boucher.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 27, 2026, 2:25 a.m.