Triple
T28701831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seventies |
E729570
|
entity |
| Predicate | isPartOfFranchiseWith |
P102724
|
FINISHED |
| Object | The Sixties |
—
|
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 Sixties | Statement: [The Seventies, isPartOfFranchiseWith, The Sixties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfFranchiseWith Context triple: [The Seventies, isPartOfFranchiseWith, The Sixties]
-
A.
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.
-
B.
includedInFranchise
chosen
Indicates that an entity is part of, or belongs to, a larger franchise or franchise series.
-
C.
isStoriedFranchiseOf
Indicates that one entity is a long-established, narrative-rich franchise (e.g., in media, sports, or entertainment) to which the other entity belongs or is associated.
-
D.
originalFranchiseOf
Indicates that one entity is the source or originating franchise from which another franchise, adaptation, or derivative work is based or derived.
-
E.
seriesWithinFranchise
Indicates that one series is part of, or contained within, a larger media 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_69f043e6e9688190b6bdd6e5665498ff |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: April 28, 2026, 5:43 a.m.