Triple
T31949065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Grillo |
E815729
|
entity |
| Predicate | hasPartInFranchise |
P143169
|
FINISHED |
| Object | The Purge film series |
—
|
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: The Purge film series | Statement: [Frank Grillo, hasPartInFranchise, The Purge film series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInFranchise Context triple: [Frank Grillo, hasPartInFranchise, The Purge film series]
-
A.
includedInFranchise
Indicates that an entity is part of, or belongs to, a larger franchise or franchise series.
-
B.
partOfFranchiseLineage
Indicates that one entity belongs to, or is derived from, the same overarching franchise lineage as another entity, reflecting continuity within a shared franchise.
-
C.
hasPartInFilmSeries
chosen
Indicates that an entity participates in or contributes to one or more installments within a specific film series.
-
D.
followsInFranchise
Indicates that one work or installment comes after another within the same franchise’s internal sequence or continuity.
-
E.
hasItemInFranchise
Indicates that an entity possesses or includes a specific item as part of a larger franchise or branded collection.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: May 1, 2026, 12:07 a.m.