Triple
T33510930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savage Streets |
E858239
|
entity |
| Predicate | characterHeatherPortrayedBy |
P1507
|
FINISHED |
| Object | Linnea Quigley |
—
|
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: Linnea Quigley | Statement: [Savage Streets, characterHeatherPortrayedBy, Linnea Quigley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterHeatherPortrayedBy Context triple: [Savage Streets, characterHeatherPortrayedBy, Linnea Quigley]
-
A.
characterPlayedBy Shirley Eaton
Indicates that a specific character is portrayed or acted by Shirley Eaton.
-
B.
characterVoicedBy Paget Brewster
Indicates that a character is voiced by Paget Brewster.
-
C.
characterPlayedBy Emmanuelle Chriqui
Indicates that the role or character in question is portrayed or acted by Emmanuelle Chriqui.
-
D.
portrayedBy
chosen
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
-
E.
sonCharacterPortrayedBy
Indicates that a person is the actor who portrays a specific son character in a work of fiction.
- F. None of above.
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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
Created at: May 1, 2026, 1:38 a.m.