Triple
T3341844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zodiac |
E70276
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Mike Medavoy |
E249133
|
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: Mike Medavoy | Statement: [Zodiac, producer, Mike Medavoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Medavoy Context triple: [Zodiac, producer, Mike Medavoy]
-
A.
Mike Medavoy
chosen
Mike Medavoy is an American film producer and studio executive known for backing numerous acclaimed and influential Hollywood films.
-
B.
Mike Montemerlo
Mike Montemerlo is a roboticist and computer scientist known for his work on autonomous vehicles as a key member of Stanford's pioneering self-driving car efforts.
-
C.
Ed Vargo
Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
-
D.
Paul Devorski
Paul Devorski is a retired Canadian National Hockey League referee known for officiating numerous high-profile games over his long career.
-
E.
Jeff Nelson
Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1ee711481909c0d921f1b5b8562 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3251d49d08190b74483b69024acff |
completed | March 12, 2026, 8:42 p.m. |
Created at: March 8, 2026, 3:12 p.m.