Triple
T4170945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zorro |
E84559
|
entity |
| Predicate | franchiseIncludes |
P53123
|
FINISHED |
| Object | films |
—
|
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: films | Statement: [Zorro, franchiseIncludes, films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseIncludes Context triple: [Zorro, franchiseIncludes, films]
-
A.
includedFranchise
Indicates that one franchise is contained within, or forms part of, another franchise.
-
B.
featuresFranchise
Indicates that one entity includes or presents a particular franchise as part of its content, offering, or composition.
-
C.
franchiseElement
chosen
Indicates that one entity is a component, installment, or part within a larger franchise or series associated with another entity.
-
D.
seriesIncludes
Indicates that a particular series contains or encompasses the referenced item as one of its constituent parts.
-
E.
franchiseOf
Indicates that one entity operates as a franchise belonging to or licensed 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_69aed932cab48190b80ffe35f7029ae1 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02c87cc88190a9ec3712db18a8a7 |
completed | March 9, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69af018fb0948190a9701b2e8e5d9bac |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.