Triple
T17862826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Bashir |
E446115
|
entity |
| Predicate | friendshipTypeWithGarak |
P10690
|
FINISHED |
| Object | complex and ambiguous |
—
|
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: complex and ambiguous | Statement: [Julian Bashir, friendshipTypeWithGarak, complex and ambiguous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: friendshipTypeWithGarak Context triple: [Julian Bashir, friendshipTypeWithGarak, complex and ambiguous]
-
A.
relationshipToFriends
Indicates the type or nature of the relationship an entity has with its friends.
-
B.
hasFriendship
Indicates a mutual, positive social relationship of friendship existing between two entities.
-
C.
friendshipEffect
Indicates the influence or consequences that a friendship relationship between entities has on their states, behaviors, or interactions.
-
D.
relationshipType
chosen
Indicates the specific kind of relationship that exists between two or more entities.
-
E.
hasFriendEnemyRelationshipWith
Indicates a relationship where two entities are simultaneously connected as both friends and enemies, reflecting a mixed or ambivalent association between them.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49791b0c08190b04a426bd274065d |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:17 a.m.