Triple
T15962049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy McBride |
E387085
|
entity |
| Predicate | creatorOfCharacter |
P40162
|
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: [Billy McBride, creatorOfCharacter, Jonathan Shapiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Shapiro Context triple: [Billy McBride, creatorOfCharacter, 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.
Greg Shapiro
Greg Shapiro is an American film producer best known for his Academy Award-winning work on "The Hurt Locker" and other notable independent and studio films.
-
D.
Jonathan Rothberg
Jonathan Rothberg is an American scientist, inventor, and entrepreneur best known for pioneering next-generation DNA sequencing technologies and founding multiple genomics companies.
-
E.
Mark Shulman
Mark Shulman is an American author best known for writing numerous children's books and humorous, educational titles for young readers.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15700651c819091c1cc4f60894c35 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aae0f87c819085ebc7d475ebe8ba |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 4:53 a.m.