Triple
T15674433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincent MacKenna |
E377401
|
entity |
| Predicate | mentorOf |
P7251
|
FINISHED |
| Object | Oliver Bronstein |
E377398
|
NE 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: Oliver Bronstein | Statement: [Vincent MacKenna, mentorOf, Oliver Bronstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Bronstein Context triple: [Vincent MacKenna, mentorOf, Oliver Bronstein]
-
A.
Oliver Bronstein
chosen
Oliver Bronstein is a young boy who forms an unlikely, transformative friendship with his misanthropic neighbor in the comedy-drama film "St. Vincent."
-
B.
Ollie Goldstein
Ollie Goldstein is a songwriter best known for co-writing the pop track "Red Hot Kinda Love."
-
C.
Ethan Buchman
Ethan Buchman is a blockchain researcher and entrepreneur best known as a co-founder and core architect of the Cosmos ecosystem and the Tendermint consensus protocol.
-
D.
Andrew Braunsberg
Andrew Braunsberg is a film producer best known for his work on the acclaimed 1979 satirical comedy-drama "Being There."
-
E.
Oliver Coopersmith
Oliver Coopersmith is a British actor best known for his prominent role in the television drama series "Tin Star."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff87611d488190857c99e166ac9e8f |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:16 a.m.