Triple
T22023122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vengeance (2022 film) |
E543890
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Ben Manalowitz |
—
|
NE NERFINISHED |
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: Ben Manalowitz | Statement: [Vengeance (2022 film), mainCharacter, Ben Manalowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Manalowitz Context triple: [Vengeance (2022 film), mainCharacter, Ben Manalowitz]
-
A.
Ben Manalowitz
chosen
Ben Manalowitz is a New York podcaster and journalist who travels to Texas to investigate a mysterious death in the darkly comedic thriller film "Vengeance."
-
B.
Philip Andelman
Philip Andelman is an American music video and commercial director known for his work with major artists across pop and rock music.
-
C.
Steven Lutvak
Steven Lutvak is an American composer and lyricist best known for co-writing the Tony Award-winning Broadway musical "A Gentleman's Guide to Love and Murder."
-
D.
Benny Horowitz
Benny Horowitz is an American drummer best known for his work with the New Jersey rock band The Gaslight Anthem.
-
E.
Michael Wallach
Michael Wallach is a film and television writer best known for his work on the thriller "The Bay."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c9959481908da6bed356199f75 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:23 p.m.