Triple

T35885802

Position	Surface form	Disambiguated ID	Type / Status
Subject	Dan Henderson vs Michael Bisping	`E1037638`	entity
Predicate	HendersonNickname	`P185367`	FINISHED
Object	Hendo Hendo is the nickname of Dan Henderson, a legendary American mixed martial artist known for his powerful knockout punching and success in multiple weight classes across major MMA organizations.	`E2159815`	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: Hendo | Statement: [Dan Henderson vs Michael Bisping, HendersonNickname, Hendo]

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: Hendo
Triple: [Dan Henderson vs Michael Bisping, HendersonNickname, Hendo]

Generated description

Hendo is the nickname of Dan Henderson, a legendary American mixed martial artist known for his powerful knockout punching and success in multiple weight classes across major MMA organizations.

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

Target predicate: HendersonNickname
Context triple: [Dan Henderson vs Michael Bisping, HendersonNickname, Hendo]

A. houstonNickname
Indicates that one entity is a nickname or informal moniker used to refer to Houston.
B. regionalNickname
Indicates that one entity is an informal or colloquial name used for another entity within a specific geographic region.
C. nicknameOfTown
Indicates that one entity is a nickname or informal name used to refer to a particular town.
D. nicknamedFor
Indicates that one entity serves as the source, inspiration, or reason for another entity’s nickname.
E. cityNickname
Indicates that one entity is commonly used as an informal or alternative name for a city.
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_69f76e1f4d748190bb55594d8441d70e`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69f7be53890081909b1d93f30a8f31c6`	completed	May 3, 2026, 9:29 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a38a4f8ac408190b61b324664101c71`	completed	June 22, 2026, 2:59 a.m.
NEDg	Description generation	`batch_6a38a61174b08190ba4c40499c5075ca`	completed	June 22, 2026, 3:03 a.m.
NED2	Entity disambiguation (via description)	`batch_6a38a6bafeb081908a73e8735069d039`	completed	June 22, 2026, 3:06 a.m.
PD	Predicate disambiguation	`batch_69f7bccacbac8190978976324c67db28`	completed	May 3, 2026, 9:23 p.m.
PDg	Predicate description generation	`batch_69f7be520f148190ba200bf3dbf40656`	completed	May 3, 2026, 9:29 p.m.

Created at: May 3, 2026, 4:06 p.m.