Triple
T14879931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles Heizer |
E349970
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | Rizzoli & Isles |
E22487
|
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: Rizzoli & Isles | Statement: [Miles Heizer, hasActedIn, Rizzoli & Isles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rizzoli & Isles Context triple: [Miles Heizer, hasActedIn, Rizzoli & Isles]
-
A.
Rizzoli & Isles
chosen
Rizzoli & Isles is an American crime drama television series that follows a Boston homicide detective and a medical examiner as they solve complex murder cases.
-
B.
Rizzoli
Rizzoli is a prominent Italian publishing house known for its high-quality books in literature, art, and non-fiction.
-
C.
Rizzoli
Rizzoli is an Italian surname most prominently associated with fictional Boston homicide detective Jane Rizzoli from the "Rizzoli & Isles" crime novel and television series.
-
D.
Detective Kate Beckett
Detective Kate Beckett is a sharp, dedicated NYPD homicide detective and one of the main protagonists of the television series "Castle."
-
E.
Blue Bloods
Blue Bloods is an American police procedural drama series that follows a multigenerational family of New York City law enforcement officers as they navigate crime, justice, and complex personal dynamics.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b591f3c81909ea8a9217d96e0d2 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.