Triple
T7354048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Girl Who Had Everything |
E169577
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Armand Deutsch |
E583716
|
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: Armand Deutsch | Statement: [The Girl Who Had Everything, producer, Armand Deutsch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armand Deutsch Context triple: [The Girl Who Had Everything, producer, Armand Deutsch]
-
A.
Armand Deutsch
chosen
Armand Deutsch was an American film producer active during Hollywood's mid-20th century studio era.
-
B.
Armand Schaefer
Armand Schaefer was an American film director and producer known for his work on adventure serials and B-movies during the early 20th century.
-
C.
Felix Weil
Felix Weil was a German Marxist intellectual and wealthy benefactor best known for financing and helping to establish the Frankfurt School’s Institute for Social Research.
-
D.
Marcel Bloch
Marcel Bloch, better known as Marcel Dassault, was a prominent French aircraft industrialist and founder of the Dassault aviation and defense empire.
-
E.
Adolph Deutsch
Adolph Deutsch was a British-American composer and conductor best known for his film scores during Hollywood's Golden Age, including classic noir and crime dramas.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10d3ef88190b3a0763d80b1e726 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c87067b98081908439af85623a97ea |
completed | March 29, 2026, 12:20 a.m. |
Created at: March 27, 2026, 3:05 p.m.