Triple

T35374759

Position	Surface form	Disambiguated ID	Type / Status
Subject	Shoemaker (namesake unknown)	`E1021874`	entity
Predicate	hasNamesakeBuilding	`P49744`	FINISHED
Object	Shoemaker Building The Shoemaker Building is a structure named in honor of an individual with the surname Shoemaker, serving as a notable facility associated with that namesake.	`E311086`	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: Shoemaker Building | Statement: [Shoemaker (namesake unknown), hasNamesakeBuilding, Shoemaker Building]

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: Shoemaker Building
Triple: [Shoemaker (namesake unknown), hasNamesakeBuilding, Shoemaker Building]

Generated description

The Shoemaker Building is a structure named in honor of an individual with the surname Shoemaker, serving as a notable facility associated with that namesake.

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

Target predicate: hasNamesakeBuilding
Context triple: [Shoemaker (namesake unknown), hasNamesakeBuilding, Shoemaker Building]

A. hasBuildingNamedAfterHim chosen
Indicates that a person has a building that is named in their honor.
B. notableBuildingAssociated
Indicates a relationship where a notable or significant building is associated with, connected to, or relevant to a given entity.
C. hasFamousStructure
Indicates that an entity possesses or is associated with a well-known or widely recognized structure.
D. hasFamousNamesake
Indicates that an entity shares its name with another well-known or notable entity.
E. eraOfManyBuildings
Indicates a time period during which many buildings were constructed or existed.
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_69f76df000488190ab7c97f565677055`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69ff41645c548190b7cb4e53079b93ef`	completed	May 9, 2026, 2:15 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a382cb75d4c8190a7967483d2b0225c`	completed	June 21, 2026, 6:25 p.m.
NEDg	Description generation	`batch_6a382f41151481909fff3701cd8d8605`	completed	June 21, 2026, 6:36 p.m.
NED2	Entity disambiguation (via description)	`batch_6a382fa19f2c8190b38af07e00e9e244`	completed	June 21, 2026, 6:38 p.m.
PD	Predicate disambiguation	`batch_69ff410aa33c8190869ba769ac2a93ce`	completed	May 9, 2026, 2:13 p.m.

Created at: May 3, 2026, 4:03 p.m.