Triple
T8351619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Birdcage |
E196171
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Neil A. Machlis |
E443520
|
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: Neil A. Machlis | Statement: [The Birdcage, producer, Neil A. Machlis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neil A. Machlis Context triple: [The Birdcage, producer, Neil A. Machlis]
-
A.
Neil A. Machlis
chosen
Neil A. Machlis is a film producer best known for his work on major Hollywood comedies, including the classic road-trip film "Planes, Trains and Automobiles."
-
B.
Allen G. Siegler
Allen G. Siegler was an American cinematographer active during the early to mid-20th century, known for his work on numerous Hollywood films.
-
C.
Edward A. Garmatz
Edward A. Garmatz was a long-serving U.S. Congressman from Maryland who represented Baltimore in the House of Representatives in the mid-20th century.
-
D.
Philip M. Kaiser
Philip M. Kaiser was an American diplomat and public servant who held several key ambassadorial posts during the Cold War era.
-
E.
Peter J. Weinberger
Peter J. Weinberger is an American computer scientist known for his contributions to programming languages and tools at Bell Labs, including co-creating the AWK programming language.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8019fb308190a3edc744bd473a5b |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e4b5781c8190b33035b81dd74260 |
completed | April 5, 2026, 10:39 p.m. |
Created at: March 30, 2026, 5:59 p.m.