Triple
T28196157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everyman Cinema Hampstead |
E716451
|
entity |
| Predicate | chainLocationOf |
P142649
|
FINISHED |
| Object | Everyman Cinema chain |
—
|
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: Everyman Cinema chain | Statement: [Everyman Cinema Hampstead, chainLocationOf, Everyman Cinema chain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chainLocationOf Context triple: [Everyman Cinema Hampstead, chainLocationOf, Everyman Cinema chain]
-
A.
chainPosition
Indicates the position or rank an entity occupies within an ordered chain or sequence relative to other entities.
-
B.
hasChainLocations
Indicates that an entity operates or is associated with multiple locations belonging to the same chain or network.
-
C.
branchLocation
Indicates the physical or geographical location where a particular branch of an organization or structure is situated.
-
D.
chainAffiliation
chosen
Indicates that an entity is formally associated with, operated by, or part of a larger chain or franchise organization.
-
E.
chainSymbolizes
Indicates that one entity serves as a symbolic representation or emblem of another within a chain or sequence of related symbols.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f642d17c688190838ecd2f002afc89 |
completed | May 2, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 10:28 p.m.