Triple
T16170731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Sipowicz |
E392426
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Sylvia Costas |
E536745
|
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: Sylvia Costas | Statement: [Andy Sipowicz, spouse, Sylvia Costas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Costas Context triple: [Andy Sipowicz, spouse, Sylvia Costas]
-
A.
Sylvia Costas
chosen
Sylvia Costas is a key supporting character on the television drama "NYPD Blue," known as an assistant district attorney and the love interest and later wife of Detective Andy Sipowicz.
-
B.
Lea Greco
Lea Greco is known as the wife of American jazz and pop singer-pianist Buddy Greco.
-
C.
Mercedes Colomar
Mercedes Colomar is a central character in the noir-inspired adventure game Grim Fandango, known as the virtuous and resourceful soul whom protagonist Manny Calavera strives to protect and accompany through the Land of the Dead.
-
D.
Laura Barbieri
Laura Barbieri is known as the wife of Argentine jazz saxophonist and composer Gato Barbieri.
-
E.
Marlene Mathias
Marlene Mathias is known as the daughter of American Olympic decathlon champion and politician Bob Mathias.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb6de30819083af54b50ae5ae51 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7bd87f08190a9f2a1524e5db2ba |
completed | May 10, 2026, 3:13 a.m. |
Created at: April 10, 2026, 5:02 a.m.