Triple
T17176213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pop-Pop |
E416865
|
entity |
| Predicate | legalStatusInSeries |
P126617
|
FINISHED |
| Object | fugitive |
—
|
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: fugitive | Statement: [Pop-Pop, legalStatusInSeries, fugitive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInSeries Context triple: [Pop-Pop, legalStatusInSeries, fugitive]
-
A.
seriesStatus
Indicates the current state or phase of a series within its lifecycle (e.g., ongoing, completed, canceled, or planned).
-
B.
hasStatusInSeries
Indicates that an entity holds a particular status or role within a specific series or sequence.
-
C.
statusInTVSeries
Indicates the role or standing an entity holds within a particular TV series, such as main, recurring, or guest status.
-
D.
legalStatusAtIssue
Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
-
E.
notableSeriesStatus
Indicates that an entity holds a particular status or role within a notable series or sequence.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0cec448190b30466628a2ff23f |
completed | April 18, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e39c2fedb881908bfed2c3e5f2616a |
completed | April 18, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:37 a.m.