Triple

T36122984

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Young and Prodigious T.S. Spivet	`E1044794`	entity
Predicate	titleCharacterFullName	`P81917`	FINISHED
Object	Tecumseh Sparrow Spivet Tecumseh Sparrow Spivet is the precocious 12-year-old cartography prodigy who serves as the main character of Reif Larsen’s novel and its film adaptation "The Young and Prodigious T.S. Spivet."	`E2169333`	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: Tecumseh Sparrow Spivet | Statement: [The Young and Prodigious T.S. Spivet, titleCharacterFullName, Tecumseh Sparrow Spivet]

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: Tecumseh Sparrow Spivet
Triple: [The Young and Prodigious T.S. Spivet, titleCharacterFullName, Tecumseh Sparrow Spivet]

Generated description

Tecumseh Sparrow Spivet is the precocious 12-year-old cartography prodigy who serves as the main character of Reif Larsen’s novel and its film adaptation "The Young and Prodigious T.S. Spivet."

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

Target predicate: titleCharacterFullName
Context triple: [The Young and Prodigious T.S. Spivet, titleCharacterFullName, Tecumseh Sparrow Spivet]

A. titleCharacterString
Indicates that one entity is the textual string representing the title associated with another entity.
B. characterFullName chosen
Indicates that the predicate specifies the complete, formal name of a character.
C. titleCharacterRealName
Indicates that a character known by a title or alias has the specified real (personal) name.
D. characterTitle
Indicates that a character holds or is associated with a specific title, rank, or formal designation.
E. titleCharacterNamedAfter
Indicates that a work’s title character is named after, or shares their name with, another specific entity.
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_69f76e356c908190abc6ca1e6a05b011`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69ff9d9cb4f8819083682be3c483b599`	completed	May 9, 2026, 8:48 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38de0ed2f88190a8727d43bbfa9c35`	completed	June 22, 2026, 7:02 a.m.
NEDg	Description generation	`batch_6a38de9a1ae88190a185a30c60e4a79d`	completed	June 22, 2026, 7:04 a.m.
NED2	Entity disambiguation (via description)	`batch_6a38df04c6e881908a0ad5b6abcfe7be`	completed	June 22, 2026, 7:06 a.m.
PD	Predicate disambiguation	`batch_69ff9c38bf9c8190bbb85b32f3ae3d2e`	completed	May 9, 2026, 8:42 p.m.

Created at: May 3, 2026, 4:08 p.m.