Triple

T34565886

Position	Surface form	Disambiguated ID	Type / Status
Subject	Grover's Corners	`E887480`	entity
Predicate	hasCharacterLivingIn	`P168038`	FINISHED
Object	George Gibbs George Gibbs is a central character in Thornton Wilder's play "Our Town," depicted as a small-town boy from Grover's Corners who grows from adolescence into adulthood and marriage.	`E2102852`	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: George Gibbs | Statement: [Grover's Corners, hasCharacterLivingIn, George Gibbs]

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: George Gibbs
Triple: [Grover's Corners, hasCharacterLivingIn, George Gibbs]

Generated description

George Gibbs is a central character in Thornton Wilder's play "Our Town," depicted as a small-town boy from Grover's Corners who grows from adolescence into adulthood and marriage.

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

Target predicate: hasCharacterLivingIn
Context triple: [Grover's Corners, hasCharacterLivingIn, George Gibbs]

A. hasNotableResidentInFiction
Indicates that a place or entity is notably associated with a fictional character who is depicted as residing there.
B. characterBasedIn chosen
Indicates that a fictional character is primarily located, resides, or operates in a particular place or setting.
C. hasMainCharacterFrom
Indicates that a work of fiction has a main character who originates from or belongs to a specified place, group, or source.
D. hasNotableResident
Indicates that an entity is or has been a well-known or distinguished resident of a particular place or location.
E. inhabitedBy
Indicates that a place or location is lived in or occupied by a particular individual, group, or species.
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_69f349d0c4d881908dd0950f5eb9ec0a`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69fe9b0276d48190b554fa22b043e6d8`	completed	May 9, 2026, 2:25 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a37362c156081909a43c7f2af149de1`	completed	June 21, 2026, 12:54 a.m.
NEDg	Description generation	`batch_6a37372aa9608190a607c9b4d0c4f978`	completed	June 21, 2026, 12:58 a.m.
NED2	Entity disambiguation (via description)	`batch_6a373a7631588190a8fb371e7e7338ac`	completed	June 21, 2026, 1:12 a.m.
PD	Predicate disambiguation	`batch_69fe999692b081909921e1148d66f0ef`	completed	May 9, 2026, 2:19 a.m.

Created at: May 1, 2026, 2:02 a.m.