Triple
T15008400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | About Alex |
E377769
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Jesse Zwick |
E1132174
|
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: Jesse Zwick | Statement: [About Alex, writer, Jesse Zwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesse Zwick Context triple: [About Alex, writer, Jesse Zwick]
-
A.
Jesse Zwick
chosen
Jesse Zwick is a film and television writer-director known for his work on character-driven dramas and comedies.
-
B.
Josh Brooks
Josh Brooks is an American college athletics administrator who serves as the athletic director for the University of Georgia.
-
C.
Blake Nelson
Blake Nelson is an American author known for his contemporary young adult novels that often explore teenage life and subcultures.
-
D.
Tim Hunter
Tim Hunter is the son of British screenwriter Ian McLellan Hunter.
-
E.
Tim Hunter
Tim Hunter is an American film and television director best known for his work on dark, character-driven dramas such as "River's Edge" and episodes of series like "Twin Peaks."
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded73348d4819091d9e7f1b0fed822 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dce8240819097efddb43b79ad4b |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:55 a.m.