Triple
T32246752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Someone to Love |
E823767
|
entity |
| Predicate | buildingStatusInPlot |
P38811
|
FINISHED |
| Object | theater scheduled for demolition |
—
|
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: theater scheduled for demolition | Statement: [Someone to Love, buildingStatusInPlot, theater scheduled for demolition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingStatusInPlot Context triple: [Someone to Love, buildingStatusInPlot, theater scheduled for demolition]
-
A.
hasBuildingStatus
chosen
Indicates the current condition, classification, or operational state assigned to a building.
-
B.
legalStatusInPlot
Indicates the legal standing or rights an entity holds within the context of a specific plot or storyline.
-
C.
propertyStatus
Indicates the current condition, state, or classification assigned to a property within a given context (e.g., availability, legal standing, or operational state).
-
D.
builtProperty
Indicates that a constructed structure or building has been created on, or is associated with, a particular property or piece of land.
-
E.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc34616481908aee15d62ced6d46 |
completed | May 3, 2026, 3:08 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:40 a.m.