Triple
T8639735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willy Bank |
E204613
|
entity |
| Predicate | filmSeriesAppearanceNumber |
P51500
|
FINISHED |
| Object | third film in the Ocean's trilogy |
—
|
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: third film in the Ocean's trilogy | Statement: [Willy Bank, filmSeriesAppearanceNumber, third film in the Ocean's trilogy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSeriesAppearanceNumber Context triple: [Willy Bank, filmSeriesAppearanceNumber, third film in the Ocean's trilogy]
-
A.
filmSeriesInstallmentNumber
chosen
Indicates the specific sequential position that a film occupies within a film series.
-
B.
numberOfFilmsAppearedIn
Indicates the total count of distinct films in which a given entity has appeared.
-
C.
appearsInSeries
Indicates that an entity is featured or occurs within a particular series.
-
D.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by another entity.
-
E.
filmSeriesProtagonistOf
Indicates that a character serves as the main recurring protagonist of a particular film series.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47944d1c819081f448f14d04bf9d |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:28 p.m.