Triple
T15103074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beloved |
E360717
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kate Forte |
E836589
|
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: Kate Forte | Statement: [Beloved, producer, Kate Forte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Forte Context triple: [Beloved, producer, Kate Forte]
-
A.
Kate Forte
chosen
Kate Forte is a film and television producer best known for her work on projects such as the drama film "The Great Debaters."
-
B.
Amy Ferson
Amy Ferson is an American journalist and commentator best known as the first wife of television personality and news anchor T. J. Holmes.
-
C.
Mary Brodbar
Mary Brodbar was the second wife of architect William Wesley Peters, a close associate and son-in-law of Frank Lloyd Wright.
-
D.
Kate Garvey
Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
-
E.
Emily Woodruff
Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00551521c8190b48d1a074bb4bdfc |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084a4c2cc81908c8acd3a1123208a |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 3:05 a.m.