Triple
T15674345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Bronstein |
E377398
|
entity |
| Predicate | friendshipEffect |
P119720
|
FINISHED |
| Object | transformative friendship |
—
|
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: transformative friendship | Statement: [Oliver Bronstein, friendshipEffect, transformative friendship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: friendshipEffect Context triple: [Oliver Bronstein, friendshipEffect, transformative friendship]
-
A.
friendAndTeammate
Indicates that one entity has a relationship with another in which they are both friends and members of the same team.
-
B.
friend
Indicates a mutual, typically positive social relationship of companionship, trust, or support between two entities.
-
C.
eventuallyBefriends
Indicates that one entity, after some passage of time or intervening events, comes to form a friendly or amicable relationship with another entity.
-
D.
relationshipToFriends
Indicates the type or nature of the relationship an entity has with its friends.
-
E.
hasFriendship
Indicates a mutual, positive social relationship of friendship existing between two entities.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:16 a.m.