Triple
T30734674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Lewis |
E782515
|
entity |
| Predicate | seriesFranchise |
P134373
|
FINISHED |
| Object | Law & Order |
—
|
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: Law & Order | Statement: [William Lewis, seriesFranchise, Law & Order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesFranchise Context triple: [William Lewis, seriesFranchise, Law & Order]
-
A.
seriesWithinFranchise
chosen
Indicates that one series is part of, or contained within, a larger media franchise.
-
B.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
C.
fandomFranchise
Indicates that one entity is a fan community or fandom specifically devoted to the other entity as a franchise or media property.
-
D.
filmSeriesReturn
Indicates that a film marks the return or continuation of a previously established film series or franchise.
-
E.
notableSeriesFranchise
Indicates that an entity is a significant or well-known installment within a particular series or franchise.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 29, 2026, 8:37 p.m.