Triple
T12958775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Resident |
E310082
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Peter Elkoff |
E1005432
|
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: Peter Elkoff | Statement: [The Resident, executiveProducer, Peter Elkoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Elkoff Context triple: [The Resident, executiveProducer, Peter Elkoff]
-
A.
Peter Elkoff
chosen
Peter Elkoff is a television writer and producer known for his work on series such as "Jack & Bobby" and other acclaimed drama shows.
-
B.
Peter Elkind
Peter Elkind is an American investigative journalist and author best known for co-writing the exposé on the Enron scandal that became the basis for the documentary "Enron: The Smartest Guys in the Room."
-
C.
Mike Sokolsky
Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
-
D.
Michael Gruskoff
Michael Gruskoff is an American film producer best known for his work on influential 1970s and 1980s films, including the cult science fiction movie "Silent Running."
-
E.
Peter Melnick
Peter Melnick is an American composer known for his film and television scores, including his work on the romantic comedy "L.A. Story."
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2e44908190bb8b43fc5c3b8a8a |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f2cc588190bb771f999cd5fd46 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 5:44 p.m.