Triple
T3772154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goliath |
E83221
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Jonathan Shapiro |
E435551
|
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: Jonathan Shapiro | Statement: [Goliath, executiveProducer, Jonathan Shapiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Shapiro Context triple: [Goliath, executiveProducer, Jonathan Shapiro]
-
A.
Jonathan Shapiro
chosen
Jonathan Shapiro is a television writer and producer best known for co-creating the legal drama series "Goliath."
-
B.
Luke Shapiro
Luke Shapiro is the teenage marijuana dealer and emotionally troubled protagonist of the coming-of-age film "The Wackness," set in 1990s New York City.
-
C.
Michael Shvo
Michael Shvo is a high-profile real estate developer and art collector known for leading luxury property projects in major global cities.
-
D.
Jeremy Shamos
Jeremy Shamos is an American stage and screen actor known for his work on Broadway and in film and television.
-
E.
Dan Shulman
Dan Shulman is a Canadian sportscaster best known for his long-running play-by-play work on Major League Baseball and college basketball broadcasts for ESPN and other networks.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc3219b881908a2f82126f9a679d |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f59074e881908d346937da0b056e |
completed | March 14, 2026, 11:56 p.m. |
Created at: March 8, 2026, 3:36 p.m.