Triple
T25194009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Peletier |
E630953
|
entity |
| Predicate | statusInComicSeries |
P162868
|
FINISHED |
| Object | alive |
—
|
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: alive | Statement: [Sophia Peletier, statusInComicSeries, alive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInComicSeries Context triple: [Sophia Peletier, statusInComicSeries, alive]
-
A.
seriesStatus
Indicates the current state or phase of a series within its lifecycle (e.g., ongoing, completed, canceled, or planned).
-
B.
storyStatus
Indicates the current state or phase of a story within its lifecycle (e.g., planned, in progress, completed, or archived).
-
C.
storyCanonStatus
Indicates the canonical status of a story relative to an official or primary continuity.
-
D.
statusInTVSeries
Indicates the role or standing an entity holds within a particular TV series, such as main, recurring, or guest status.
-
E.
legalStatusInSeries
Indicates the specific legal standing or role an entity holds within a particular series or grouped legal structure.
- F. None of above. chosen
Provenance (4 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f62e83045c8190a424a2e401a88e9e |
completed | May 2, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f62d886828819080ec2f742b9449e3 |
completed | May 2, 2026, 4:59 p.m. |
Created at: April 21, 2026, 12:45 p.m.