Triple
T8019979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taps |
E186715
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Howard Rosenman |
E430139
|
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: Howard Rosenman | Statement: [Taps, producer, Howard Rosenman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Rosenman Context triple: [Taps, producer, Howard Rosenman]
-
A.
Howard Rosenman
chosen
Howard Rosenman is an American film producer known for his work on popular Hollywood movies and for helping bring LGBTQ themes into mainstream cinema.
-
B.
Jay O. Rothman
Jay O. Rothman is an American attorney and academic leader who serves as president of the University of Wisconsin System.
-
C.
Howard Roseman
Howard Roseman is an American football executive best known as the longtime general manager and key roster architect of the NFL’s Philadelphia Eagles.
-
D.
Howard Klausner
Howard Klausner is an American screenwriter best known for co-writing the Clint Eastwood film "Space Cowboys" and working on various other feature and television projects.
-
E.
Monte Jay Himmelbaum
Monte Jay Himmelbaum, better known as Monte Hellman, was an American film director and producer acclaimed for his influential work in independent and cult cinema, particularly in the 1960s and 1970s.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8bc90081909f6f5878e6f1f241 |
completed | March 31, 2026, 3:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf278d5abc8190a9330918486e464f |
completed | April 3, 2026, 2:35 a.m. |
Created at: March 30, 2026, 5:20 p.m.