Triple
T33758746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Burns Cage |
E865047
|
entity |
| Predicate | franchiseEntryNumberApproximate |
P43562
|
FINISHED |
| Object | over 580 |
—
|
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: over 580 | Statement: [The Burns Cage, franchiseEntryNumberApproximate, over 580]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseEntryNumberApproximate Context triple: [The Burns Cage, franchiseEntryNumberApproximate, over 580]
-
A.
franchiseEntryNumber
chosen
Indicates the ordinal position or sequence number of an entry within a franchise series.
-
B.
franchiseEntryType
Indicates the specific category or type of entry by which a franchise participates or is represented within a larger system or context.
-
C.
franchiseConnection
Indicates a relationship where one entity is part of, derived from, or otherwise officially linked to a larger franchise or brand.
-
D.
franchiseElement
Indicates that one entity is a component, installment, or part within a larger franchise or series associated with another entity.
-
E.
participatingFranchise
Indicates that a franchise is involved as a participant in a particular program, event, or arrangement.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:45 a.m.