Triple
T20118974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How High |
E490546
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michael Shamberg |
—
|
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: Michael Shamberg | Statement: [How High, producer, Michael Shamberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Shamberg Context triple: [How High, producer, Michael Shamberg]
-
A.
Michael Shamberg
chosen
Michael Shamberg is an American film producer known for his work on acclaimed movies such as "Pulp Fiction," "Erin Brockovich," and "Out of Sight."
-
B.
Adam F. Goldberg
Adam F. Goldberg is an American television and film writer and producer best known for creating the semi-autobiographical sitcom "The Goldbergs."
-
C.
Tom Schulman
Tom Schulman is an American screenwriter best known for writing the Academy Award–winning screenplay for the film "Dead Poets Society."
-
D.
Adam Pally
Adam Pally is an American actor and comedian best known for his roles on the TV series "Happy Endings" and "The Mindy Project."
-
E.
David Adelstein
David Adelstein is a musician known for his work featured on the album "Bella Donna."
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673c32bc8190a52875961fbcc5e2 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.