Triple
T13702440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffy |
E328552
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Allan Arbus |
E987154
|
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: Allan Arbus | Statement: [Coffy, starring, Allan Arbus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allan Arbus Context triple: [Coffy, starring, Allan Arbus]
-
A.
Allan Arbus
chosen
Allan Arbus was an American actor and former photographer best known for his role as psychiatrist Dr. Sidney Freedman on the television series M*A*S*H.
-
B.
Robert Franks
Robert Franks was a 14-year-old Chicago boy whose 1924 kidnapping and murder by Nathan Leopold and Richard Loeb became one of the most infamous criminal cases in American history.
-
C.
Ethan Winogrand
Ethan Winogrand is known primarily as a son of the influential American street photographer Garry Winogrand.
-
D.
Diane Arbus
Diane Arbus was an American photographer renowned for her stark, intimate portraits of marginalized and unconventional subjects that challenged traditional notions of beauty and normalcy.
-
E.
Laurie Winogrand
Laurie Winogrand is the daughter of renowned American street photographer Garry Winogrand.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79459192c81908132ad9813d69125 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:54 p.m.