Triple
T37329649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William O’Neal |
E926707
|
entity |
| Predicate | providedFloorPlanOf |
P5930
|
FINISHED |
| Object | Fred Hampton’s apartment |
—
|
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: Fred Hampton’s apartment | Statement: [William O’Neal, providedFloorPlanOf, Fred Hampton’s apartment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providedFloorPlanOf Context triple: [William O’Neal, providedFloorPlanOf, Fred Hampton’s apartment]
-
A.
hasFloorPlanShape
Indicates that an entity has a specific geometric or structural configuration defining the shape of its floor plan.
-
B.
floorPlan
chosen
Indicates that one entity serves as the architectural layout or room arrangement blueprint for another entity (such as a building or space).
-
C.
floorPlanType
Indicates the specific layout or configuration category that a floor plan belongs to (e.g., studio, 1-bedroom, open-plan).
-
D.
floorPlanFeature
Indicates that a floor plan includes or is characterized by a specific feature or element within its layout.
-
E.
floorPlanInfluence
Indicates how the layout or design of a floor plan affects or shapes another element, condition, or outcome.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
Created at: May 3, 2026, 4:16 p.m.