Triple
T12925852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cry Pretty |
E309242
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Chris DeStefano |
E658983
|
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: Chris DeStefano | Statement: [Cry Pretty, producer, Chris DeStefano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris DeStefano Context triple: [Cry Pretty, producer, Chris DeStefano]
-
A.
Chris DeStefano
chosen
Chris DeStefano is an American songwriter and record producer known for his work on numerous contemporary country and pop hits.
-
B.
Sam DeStefano
Sam DeStefano was a notoriously violent Chicago mobster and loanshark associated with the Chicago Outfit during the mid-20th century.
-
C.
Dan Stanzione
Dan Stanzione is a computer scientist and high-performance computing expert who serves as the executive director of the Texas Advanced Computing Center at the University of Texas at Austin.
-
D.
Andrew DeLuca
Andrew DeLuca is a fictional surgical resident and later attending surgeon on the television series Grey’s Anatomy, known for his complex personal struggles and romantic relationships with key characters.
-
E.
Matt DeRoss
Matt DeRoss is a film producer best known for his work on the critically acclaimed drama "The End of the Tour."
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb6b97888190923ce7a6e59ff752 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 9, 2026, 5:42 p.m.