Triple
T5350099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speak Like a Child |
E124153
|
entity |
| Predicate | photographer |
P12333
|
FINISHED |
| Object | Francis Wolff |
E523794
|
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: Francis Wolff | Statement: [Speak Like a Child, photographer, Francis Wolff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francis Wolff Context triple: [Speak Like a Child, photographer, Francis Wolff]
-
A.
Francis Wolff
chosen
Francis Wolff was a German-born photographer and record producer best known for his iconic session photographs and co-running the influential jazz label Blue Note Records.
-
B.
Tom Benedek
Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
-
C.
Robert Rossen
Robert Rossen was an American film director and screenwriter best known for socially conscious dramas such as "All the King's Men" and "The Hustler."
-
D.
Franklin J. Schaffner
Franklin J. Schaffner was an American film and television director best known for acclaimed works such as "Patton," "Planet of the Apes," and "Papillon."
-
E.
Paul Hirsch
Paul Hirsch is an American film editor renowned for his work on major Hollywood films, including the original Star Wars.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd860fe4048190846a933d0e1b9386 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf70cca6cc81909e792f109410f816 |
completed | March 22, 2026, 4:32 a.m. |
Created at: March 20, 2026, 2:01 p.m.