Triple
T11678625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of Jennie |
E277556
|
entity |
| Predicate | basedOnWorkAuthor |
P2806
|
FINISHED |
| Object | Robert Nathan |
E326239
|
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: Robert Nathan | Statement: [Portrait of Jennie, basedOnWorkAuthor, Robert Nathan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Nathan Context triple: [Portrait of Jennie, basedOnWorkAuthor, Robert Nathan]
-
A.
Robert Nathan
chosen
Robert Nathan was an American novelist and poet best known for his romantic and fantasy fiction, including the story that inspired the film "The Bishop's Wife."
-
B.
Harvey Rosenstock
Harvey Rosenstock is a film editor known for his work on major motion pictures, including the Western film "Tombstone."
-
C.
Max Rosenthal
Max Rosenthal is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Rosenthal.
-
D.
Irving Shulman
Irving Shulman was an American author and screenwriter best known for his novel "The Amboy Dukes" and for adapting "Rebel Without a Cause" for film.
-
E.
Abner Biberman
Abner Biberman was an American film and television director, actor, and screenwriter active in mid-20th-century Hollywood.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1665e02f88190b805c72d3944a565 |
completed | April 29, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:40 p.m.