Triple

T36408344

Position	Surface form	Disambiguated ID	Type / Status
Subject	William Easton	`E896808`	entity
Predicate	appearsInTrap	`P197277`	FINISHED
Object	Oxygen Crusher trap The Oxygen Crusher trap is a brutal mechanical device from the Saw film series designed to test victims' will to survive by crushing their bodies while restricting their air supply.	`E2182116`	NE FINISHED

How this triple was built (3 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: Oxygen Crusher trap | Statement: [William Easton, appearsInTrap, Oxygen Crusher trap]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Oxygen Crusher trap
Triple: [William Easton, appearsInTrap, Oxygen Crusher trap]

Generated description

The Oxygen Crusher trap is a brutal mechanical device from the Saw film series designed to test victims' will to survive by crushing their bodies while restricting their air supply.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: appearsInTrap
Context triple: [William Easton, appearsInTrap, Oxygen Crusher trap]

A. trappedIn
Indicates that one entity is confined or caught within another entity or bounded space, unable to leave freely.
B. trappedWith
Indicates that two or more entities are confined together in the same restricted space or situation, unable to leave independently.
C. trappedFor
Indicates that one entity is confined or held captive by another entity or within a particular situation for a period of time.
D. trappedDuring
Indicates that one entity is confined, caught, or immobilized while a specified event or situation is occurring.
E. isTrappableVillain
Indicates that the entity is a villain who can be successfully captured, contained, or neutralized through traps or similar means.
F. None of above. chosen

Provenance (7 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_69f76e53b81081908d3b81860593f38a`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69fe831c97c88190b27ecf100e25c2a0`	completed	May 9, 2026, 12:43 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a39b448ce748190b9756517356f5cf6`	completed	June 22, 2026, 10:16 p.m.
NEDg	Description generation	`batch_6a39b677cec08190b21b436fb864c882`	completed	June 22, 2026, 10:25 p.m.
NED2	Entity disambiguation (via description)	`batch_6a39b762137081909135cf0055b5205a`	completed	June 22, 2026, 10:29 p.m.
PD	Predicate disambiguation	`batch_69fe7f1b92648190b14e56bcaee5d0ca`	completed	May 9, 2026, 12:26 a.m.
PDg	Predicate description generation	`batch_69fe831ba4708190a5564afd7d5a4319`	completed	May 9, 2026, 12:43 a.m.

Created at: May 3, 2026, 4:10 p.m.