Triple
T33452717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernie Pantusso |
E856686
|
entity |
| Predicate | characterStatusInSeries |
P52203
|
FINISHED |
| Object | deceased |
—
|
LITERAL 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: deceased | Statement: [Ernie Pantusso, characterStatusInSeries, deceased]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterStatusInSeries Context triple: [Ernie Pantusso, characterStatusInSeries, deceased]
-
A.
characterStatusInStory
chosen
Indicates the role or condition a character holds within the context of a specific story or narrative.
-
B.
characterIn
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
C.
characterInFilmSeries
Indicates that a character appears in or is part of the cast of a particular film series.
-
D.
refersToCharacterStatus
Indicates that one entity references or denotes the status or condition of a specific character.
-
E.
featuresCharacterWithStatus
Indicates that something (such as a work or scene) includes a character who has a specified status or condition.
- 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_69f3497281a08190b4705de0b5f26ba7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff32b88bf48190b45afd1b60cb511c |
completed | May 9, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69ff3031e18881908927b2ab452de863 |
completed | May 9, 2026, 1:01 p.m. |
Created at: May 1, 2026, 1:37 a.m.