Triple
T9854532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short Cuts |
E239550
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michael Hausman |
E230468
|
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: Michael Hausman | Statement: [Short Cuts, producer, Michael Hausman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Hausman Context triple: [Short Cuts, producer, Michael Hausman]
-
A.
Michael Hausman
chosen
Michael Hausman is an American film producer and production manager known for his work on acclaimed films such as "Silkwood," "Amadeus," and "Gangs of New York."
-
B.
Michael Haussman
Michael Haussman is an American director and filmmaker best known for his work on high-profile music videos and commercials.
-
C.
Robert Hausmann
Robert Hausmann was a prominent 19th-century German cellist renowned for his chamber music collaborations and for inspiring important works in the cello repertoire.
-
D.
Michael Steven Hartman
Michael Steven Hartman is the birth name of Mickey Hart, the renowned American percussionist and longtime drummer of the Grateful Dead.
-
E.
Eric Schoffstall
Eric Schoffstall is a software developer best known for creating Gulp, a popular JavaScript-based task runner used in web development build workflows.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3960fb481909c90d6d6cafc6222 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e519c7a88190b8776b4af4908d1f |
completed | April 5, 2026, 10:41 p.m. |
Created at: March 30, 2026, 8:34 p.m.