Triple
T29760986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saturn International Pictures |
E753766
|
entity |
| Predicate | hasNotableTitleInFranchise |
P12396
|
FINISHED |
| Object | Piranha film series |
—
|
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: Piranha film series | Statement: [Saturn International Pictures, hasNotableTitleInFranchise, Piranha film series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableTitleInFranchise Context triple: [Saturn International Pictures, hasNotableTitleInFranchise, Piranha film series]
-
A.
isFirstTitleForFranchise
Indicates that the title is the initial or debut installment released within a particular franchise.
-
B.
hasTitleInCredits
Indicates that an entity is listed with a specific title or role in the credits of a work.
-
C.
hasFictionalTitleOfProtagonist
Indicates that an entity holds or is assigned the fictional title or role used to designate the main protagonist in a narrative.
-
D.
notableWorkInFranchise
chosen
Indicates that an entity has a significant or well-known work (such as a role, creation, or contribution) within a specific media franchise.
-
E.
refersToNotableTitle
Indicates that one entity refers to a notable or distinguished title held or used by another entity.
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69ffe8ebe9fc8190b1934a3c4074370c |
completed | May 10, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69ffe83a5de88190bed3e8bac86e8760 |
completed | May 10, 2026, 2:06 a.m. |
Created at: April 28, 2026, 8:33 p.m.