Triple
T12364116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everybody Loves Raymond |
E294816
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Philip Rosenthal |
E977758
|
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: Philip Rosenthal | Statement: [Everybody Loves Raymond, executiveProducer, Philip Rosenthal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Rosenthal Context triple: [Everybody Loves Raymond, executiveProducer, Philip Rosenthal]
-
A.
Philip Rosenthal
chosen
Philip Rosenthal is an American television writer and producer best known for creating the hit sitcom "Everybody Loves Raymond."
-
B.
Ian Fried
Ian Fried is a screenwriter best known for penning the supernatural thriller film "Spectral."
-
C.
Ben Sprecher
Ben Sprecher is a Broadway theatre producer known for his involvement in major stage productions in New York.
-
D.
Mark Rosenthal
Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
-
E.
Laurence Rosenthal
Laurence Rosenthal is an American composer best known for his film and television scores, including acclaimed work in mid-20th-century cinema and series such as "Becket" and "The Young Indiana Jones Chronicles."
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa3f958819080555bcae9958a53 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634721e948190bb8e97ef677b9f59 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.