Triple

T32608913

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Love Bug (1968 film)	`E833599`	entity
Predicate	characterPlayedByDavidTomlinson	`P198679`	FINISHED
Object	Peter Thorndyke Peter Thorndyke is the pompous and antagonistic car dealer who serves as the main human villain in Disney’s 1968 film "The Love Bug."	`E2015228`	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: Peter Thorndyke | Statement: [The Love Bug (1968 film), characterPlayedByDavidTomlinson, Peter Thorndyke]

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: Peter Thorndyke
Triple: [The Love Bug (1968 film), characterPlayedByDavidTomlinson, Peter Thorndyke]

Generated description

Peter Thorndyke is the pompous and antagonistic car dealer who serves as the main human villain in Disney’s 1968 film "The Love Bug."

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

Target predicate: characterPlayedByDavidTomlinson
Context triple: [The Love Bug (1968 film), characterPlayedByDavidTomlinson, Peter Thorndyke]

A. characterPlayedBy Jonathan Tucker
Indicates that the specified character is portrayed or acted by Jonathan Tucker.
B. characterVoicedBy Seann William Scott
Indicates that a character is voiced by Seann William Scott.
C. characterPlayedByEdwardMulhare
Indicates that the subject is a character that was portrayed or played by Edward Mulhare.
D. playedBy
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
E. characterPlayedByDeanJones
Indicates that a given character is portrayed or acted by Dean Jones.
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_69f3492bfa648190b6ae472074634e29`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69fefb15220081908da36aac386fa582`	completed	May 9, 2026, 9:15 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a3486165d708190a9d5085fcc3c004b`	completed	June 18, 2026, 11:58 p.m.
NEDg	Description generation	`batch_6a348a2ed8008190a7fa7282b02e248d`	completed	June 19, 2026, 12:15 a.m.
NED2	Entity disambiguation (via description)	`batch_6a348ac9cce881909430c99e4d74b2a8`	completed	June 19, 2026, 12:18 a.m.
PD	Predicate disambiguation	`batch_69fefa8e8ad48190a723fed81e9d64d0`	completed	May 9, 2026, 9:12 a.m.
PDg	Predicate description generation	`batch_69fefb13eb288190bcfae0541cfd7b98`	completed	May 9, 2026, 9:15 a.m.

Created at: May 1, 2026, 1:05 a.m.