Triple
T13779995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fashion Police |
E331107
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Melissa Rivers |
E398546
|
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: Melissa Rivers | Statement: [Fashion Police, executiveProducer, Melissa Rivers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melissa Rivers Context triple: [Fashion Police, executiveProducer, Melissa Rivers]
-
A.
Melissa Rivers
chosen
Melissa Rivers is an American television host, producer, and actress best known for her red carpet coverage and for continuing the comedic legacy of her mother, Joan Rivers.
-
B.
Melissa Blake
Melissa Blake is a television writer and producer known for her work on series such as "Heroes" and "Ghost Whisperer."
-
C.
Melissa Fletcher
Melissa Fletcher is a Welsh former professional footballer known for playing as a forward for Reading FC Women and the Wales national team.
-
D.
Melissa Kent
Melissa Kent is a film editor known for her work on feature films such as the romantic comedy "Just Wright."
-
E.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2818ec8190ae926a0ffdeb7bb7 |
completed | May 9, 2026, 3 p.m. |
Created at: April 9, 2026, 10:11 p.m.