Triple

T35242123

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ronald Bixby	`E1017553`	entity
Predicate	useOfStageName	`P182651`	FINISHED
Object	He was better known by his stage name Skip Young He was better known by his stage name Skip Young, an American actor recognized for his roles in mid-20th-century film and television.	`E2130834`	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: He was better known by his stage name Skip Young | Statement: [Ronald Bixby, useOfStageName, He was better known by his stage name Skip Young]

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: He was better known by his stage name Skip Young
Triple: [Ronald Bixby, useOfStageName, He was better known by his stage name Skip Young]

Generated description

He was better known by his stage name Skip Young, an American actor recognized for his roles in mid-20th-century film and television.

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

Target predicate: useOfStageName
Context triple: [Ronald Bixby, useOfStageName, He was better known by his stage name Skip Young]

A. usedStageNameUntil
Indicates that an entity used a particular stage name up to a specified point in time, after which it was no longer used.
B. usesStageNameFormat
Indicates that an entity’s stage name follows or conforms to a particular naming format or pattern.
C. usedStage
Indicates that an entity made use of a particular stage or phase within a process, workflow, or lifecycle.
D. usesStageType
Indicates that one entity employs or operates with a particular type or category of stage.
E. usedAsStageNameBySomeBearers
Indicates that the name is employed as a stage name by at least some of its bearers.
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_69f76de235048190b990070c23c51b6b`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69f7904a770481908ef3f788e51e8dba`	completed	May 3, 2026, 6:13 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38042388b881909cc79807154aa556`	completed	June 21, 2026, 3:32 p.m.
NEDg	Description generation	`batch_6a3804c6a8788190ac07c698d78a290d`	completed	June 21, 2026, 3:35 p.m.
NED2	Entity disambiguation (via description)	`batch_6a38057811848190a12d3e760db65b2d`	completed	June 21, 2026, 3:38 p.m.
PD	Predicate disambiguation	`batch_69f78e2d71248190b850c2802ec170c0`	completed	May 3, 2026, 6:04 p.m.
PDg	Predicate description generation	`batch_69f78f629d508190b755848162c4e101`	completed	May 3, 2026, 6:09 p.m.

Created at: May 3, 2026, 4:02 p.m.