Triple
T22916882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Shapiro |
E568754
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mark Shapiro |
—
|
NE NERFINISHED |
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: Mark Shapiro | Statement: [Mark Shapiro, name, Mark Shapiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Shapiro Context triple: [Mark Shapiro, name, Mark Shapiro]
-
A.
Mark Shapiro
chosen
Mark Shapiro is an American media executive and sports industry leader who serves as president and a top decision-maker at Endeavor Group Holdings.
-
B.
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.
-
C.
Scott Shapiro
Scott Shapiro is a prominent American legal philosopher and Yale Law School professor known for his influential work on legal positivism, jurisprudence, and the nature of legal systems.
-
D.
Craig Shapiro
Craig Shapiro is a television writer and producer best known for co-creating and showrunning series such as the sci-fi drama "Salvation."
-
E.
Jesse M. Shapiro
Jesse M. Shapiro is an American economist known for his influential research on media, political economy, and applied microeconomics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807a14648190b5d5f7d926f19320 |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.