Triple
T23897046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elena Gilbert |
E600932
|
entity |
| Predicate | statusLaterInSeries |
P13710
|
FINISHED |
| Object | Vampire |
—
|
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: Vampire | Statement: [Elena Gilbert, statusLaterInSeries, Vampire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusLaterInSeries Context triple: [Elena Gilbert, statusLaterInSeries, Vampire]
-
A.
statusInTVSeries
Indicates the role or standing an entity holds within a particular TV series, such as main, recurring, or guest status.
-
B.
seriesStatus
Indicates the current state or phase of a series within its lifecycle (e.g., ongoing, completed, canceled, or planned).
-
C.
laterStatus
chosen
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
-
D.
statusBySeriesEnd
Indicates the condition or outcome of an entity as it stands at the conclusion of a particular series.
-
E.
legalStatusInSeries
Indicates the specific legal standing or role an entity holds within a particular series or grouped legal structure.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdda39448190bdefa953e0558583 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.