Triple
T26132438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harkins Theatres |
E659287
|
entity |
| Predicate | hasConcessionItem |
P148943
|
FINISHED |
| Object | fresh popcorn |
—
|
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: fresh popcorn | Statement: [Harkins Theatres, hasConcessionItem, fresh popcorn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConcessionItem Context triple: [Harkins Theatres, hasConcessionItem, fresh popcorn]
-
A.
hasConcessions
Indicates that one entity provides or contains concession facilities, services, or rights (such as food, drink, or merchandise sales) for another entity or within a given context.
-
B.
concessionIncludes
chosen
Indicates that one concession contains, comprises, or encompasses another concession as a part or subset.
-
C.
hadConcessionOption
Indicates that an entity possessed the contractual right or option to grant, receive, or operate under a concession.
-
D.
hasConcessionaire
Indicates that one entity is designated as the concessionaire (holder of operating or usage rights under a concession) for another entity.
-
E.
concessionStatus
Indicates the current state or condition of a concession (such as being active, pending, expired, or revoked) in relation to the entities involved.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd44474ed48190ac372e4c88d762ed |
completed | May 8, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69fd41ef28a48190a66959be5c964461 |
completed | May 8, 2026, 1:52 a.m. |
Created at: April 26, 2026, 8:15 p.m.