Triple
T147763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred Rogers |
E3367
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | James Rogers |
E36090
|
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: James Rogers | Statement: [Fred Rogers, child, James Rogers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Rogers Context triple: [Fred Rogers, child, James Rogers]
-
A.
James Rogers
chosen
James Rogers is a common personal name shared by numerous individuals across various fields, including politics, academia, sports, and the arts.
-
B.
Michael Rogers
Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
-
C.
David Drumlin
David Drumlin is a high-ranking government science advisor and political figure in the science fiction film "Contact," often serving as a skeptical foil to the protagonist Ellie Arroway.
-
D.
James Honaker
James Honaker is a political scientist and statistician known for his work on methods for handling missing data and for coauthoring influential research with Gary King.
-
E.
Ted Cheesman
Ted Cheesman was a film editor best known for his work on classic Hollywood productions, including the 1933 monster film "King Kong."
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a257ecb6f48190992c4c8ca908a81c |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6373911408190adfe7fc909c93658 |
completed | March 3, 2026, 1:19 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.