Triple

T37281324

Position	Surface form	Disambiguated ID	Type / Status
Subject	Peter Ludlow	`E925401`	entity
Predicate	relativeInCanon	`P204256`	FINISHED
Object	John Hammond (nephew) John Hammond (nephew) is a character in the Jurassic Park franchise, known as the ambitious InGen executive who attempts to revive his uncle’s dinosaur theme park vision in The Lost World: Jurassic Park.	`E2220146`	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: John Hammond (nephew) | Statement: [Peter Ludlow, relativeInCanon, John Hammond (nephew)]

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: John Hammond (nephew)
Triple: [Peter Ludlow, relativeInCanon, John Hammond (nephew)]

Generated description

John Hammond (nephew) is a character in the Jurassic Park franchise, known as the ambitious InGen executive who attempts to revive his uncle’s dinosaur theme park vision in The Lost World: Jurassic Park.

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

Target predicate: relativeInCanon
Context triple: [Peter Ludlow, relativeInCanon, John Hammond (nephew)]

A. relativePosition
Indicates the spatial relationship of one entity’s location with respect to another entity’s position.
B. relativePositioning
Indicates how one entity is spatially arranged or located in relation to another entity.
C. relativeInFilm chosen
Indicates that one person is a relative of another person within the context or storyline of a film.
D. relativePositionInSystem
Indicates the spatial or ordered position an entity occupies within a larger system or structured arrangement.
E. capturedRelative
Indicates that one entity has taken another entity’s relative into custody, control, or confinement.
F. None of above.

Provenance (6 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_69f76eafe20c8190856d3b996a4c31a7`	completed	May 3, 2026, 3:50 p.m.
NER	Named-entity recognition	`batch_6a037c8efcd4819088c2aeead65d93df`	completed	May 12, 2026, 7:16 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a40513baeec8190941dfb7692b44c69`	completed	June 27, 2026, 10:39 p.m.
NEDg	Description generation	`batch_6a4051b5f6048190b92272bf19ee39ad`	completed	June 27, 2026, 10:41 p.m.
NED2	Entity disambiguation (via description)	`batch_6a405268e3688190b86e1ee0391e817a`	completed	June 27, 2026, 10:44 p.m.
PD	Predicate disambiguation	`batch_6a037a11efc08190bb7cacc1325b4dc6`	completed	May 12, 2026, 7:05 p.m.

Created at: May 3, 2026, 4:16 p.m.