Triple
T14999509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Cancro |
E374046
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peter Cancro |
E374046
|
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: Peter Cancro | Statement: [Peter Cancro, name, Peter Cancro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Cancro Context triple: [Peter Cancro, name, Peter Cancro]
-
A.
Peter Cancro
chosen
Peter Cancro is an American entrepreneur best known for building Jersey Mike’s Subs from a single neighborhood sandwich shop into a major national submarine sandwich chain.
-
B.
Steve Pellegrini
Steve Pellegrini is a Canadian municipal politician who serves as the long-time mayor of the Township of King in Ontario.
-
C.
Chris Malaspina
Chris Malaspina is a musician best known as a member of the American rock band Ultra Q.
-
D.
Patrick Cristaldi
Patrick Cristaldi is the son of renowned Italian-Tunisian actress Claudia Cardinale and film producer Franco Cristaldi.
-
E.
Chris Brancato
Chris Brancato is an American television writer and producer best known for his work on crime dramas, including co-creating the acclaimed Netflix series "Narcos."
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969e2d888190afbb9c8fd8a707c8 |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.