Triple
T2747085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rose |
E60894
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Robert L. Wolfe |
E442645
|
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 L. Wolfe | Statement: [The Rose, editedBy, Robert L. Wolfe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert L. Wolfe Context triple: [The Rose, editedBy, Robert L. Wolfe]
-
A.
Robert L. Wolfe
chosen
Robert L. Wolfe was a film editor best known for his work on the political thriller "All the President’s Men."
-
B.
Fred M. Wilcox
Fred M. Wilcox was an American film director best known for the science fiction classic "Forbidden Planet" and the family film "Lassie Come Home."
-
C.
Robert N. Fitch
Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
-
D.
Robert N. Davoren
Robert N. Davoren was a notable figure in New York City's correctional system, commemorated by having a Rikers Island jail facility named in his honor.
-
E.
Richard T. Wetherald
Richard T. Wetherald was an atmospheric scientist known for his pioneering work with Syukuro Manabe on early climate modeling and the greenhouse effect.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb4ff7b08190b72edb6a2bc5fd19 |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9cf41d5308190be3ce32a4f7b707a |
completed | March 30, 2026, 1:17 a.m. |
Created at: March 6, 2026, 9:56 p.m.