Triple
T22664096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Employee of the Month |
E559737
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Peter Abrams |
—
|
NE NERFINISHED |
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: Peter Abrams | Statement: [Employee of the Month, producer, Peter Abrams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Abrams Context triple: [Employee of the Month, producer, Peter Abrams]
-
A.
Peter Abrams
chosen
Peter Abrams is a film producer best known for his work on popular Hollywood comedies and mainstream studio movies.
-
B.
Bruce Abrahamson
Bruce Abrahamson is an architect and business leader best known for establishing the design firm HGA Architects and Engineers.
-
C.
Eric Abramson
Eric Abramson is a cinematographer best known for his work on the Academy Award–winning documentary film "The Cove."
-
D.
Douglas Abrams
Douglas Abrams is an American author, editor, and literary agent best known for co-authoring spiritually focused, conversational books with prominent religious leaders such as the Dalai Lama and Desmond Tutu.
-
E.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f176617ed8819095a58a2c9f1e3918 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:08 p.m.