Triple
T22838392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I.Q. |
E566008
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Allan Mindel |
—
|
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: Allan Mindel | Statement: [I.Q., producer, Allan Mindel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allan Mindel Context triple: [I.Q., producer, Allan Mindel]
-
A.
Allan Mindel
chosen
Allan Mindel is a film producer best known for his work on the romantic drama movie "Bed of Roses."
-
B.
Lou Breslow
Lou Breslow was an American screenwriter and director best known for his work on Hollywood comedies from the 1930s through the 1950s.
-
C.
Allan Feldmann
Allan Feldmann is a researcher known for co-authoring academic work with network scientist Walter Willinger, likely in the field of computer networking or Internet measurement.
-
D.
Allan Mandelbaum
Allan Mandelbaum is a film producer known for his work on projects such as the 2018 movie "Welcome Home."
-
E.
Allan Greenberg
Allan Greenberg is an American architect renowned for reviving and advancing New Classical architecture through his traditionally inspired yet contemporary designs.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8244dc819089c0a7525fb512ab |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:35 p.m.