Triple
T11390944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMC Classic |
E269832
|
entity |
| Predicate | distinctionFromAMCTheatres |
P99054
|
FINISHED |
| Object | reduced amenities compared to flagship AMC locations |
—
|
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: reduced amenities compared to flagship AMC locations | Statement: [AMC Classic, distinctionFromAMCTheatres, reduced amenities compared to flagship AMC locations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinctionFromAMCTheatres Context triple: [AMC Classic, distinctionFromAMCTheatres, reduced amenities compared to flagship AMC locations]
-
A.
theaterDistrict
Indicates that a location is situated within or associated with a designated theater district.
-
B.
primaryCinema
Indicates that one entity is the main or most significant cinema associated with another entity (such as a person, work, or event).
-
C.
hasTheaterSubregion
Indicates that a theater is located within, or is a part of, a specific subregion of a larger geographic or administrative area.
-
D.
distanceFromTheater
Indicates the measured spatial distance between a given entity and a specified theater.
-
E.
hasNumberOfTheatres
Indicates the quantity of theatres associated with or present in a given entity.
- F. None of above. chosen
Provenance (4 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.