Triple

T36245881

Position	Surface form	Disambiguated ID	Type / Status
Subject	Wimbledon gentlemen’s singles 1880	`E891661`	entity
Predicate	allComersRunnerUp	`P2683`	FINISHED
Object	Otway Woodhouse Otway Woodhouse was a 19th-century British tennis player notable for reaching the All-Comers final at the 1880 Wimbledon gentlemen’s singles championship.	`E2175488`	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: Otway Woodhouse | Statement: [Wimbledon gentlemen’s singles 1880, allComersRunnerUp, Otway Woodhouse]

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: Otway Woodhouse
Triple: [Wimbledon gentlemen’s singles 1880, allComersRunnerUp, Otway Woodhouse]

Generated description

Otway Woodhouse was a 19th-century British tennis player notable for reaching the All-Comers final at the 1880 Wimbledon gentlemen’s singles championship.

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

Target predicate: allComersRunnerUp
Context triple: [Wimbledon gentlemen’s singles 1880, allComersRunnerUp, Otway Woodhouse]

A. runnerUp chosen
Indicates that one entity finished in second place relative to another in a competition or ranking.
B. conferenceOfRunnerUp
Indicates the conference or league affiliation to which the runner-up entity belongs.
C. runnerUpWins
Indicates that an entity finishes in second place in a competition or ranking and receives the corresponding runner-up victory or award.
D. runnerUpFullName
Indicates the full name of the entity that finished in second place in a competition or ranking.
E. gamesWonByRunnerUp
Indicates the number of games won by the runner-up in a competition or match.
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_69f76e44993481908fa75e4c48d0aab3`	completed	May 3, 2026, 3:48 p.m.
NER	Named-entity recognition	`batch_69f7ba6d06f48190a71b5a2f19e2232f`	completed	May 3, 2026, 9:13 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a394d46bf908190bd4ca3eda1f19b37`	completed	June 22, 2026, 2:57 p.m.
NEDg	Description generation	`batch_6a394f7a4dd481909ac14a8ba31d899b`	completed	June 22, 2026, 3:06 p.m.
NED2	Entity disambiguation (via description)	`batch_6a3954064be08190ab1cd122c2a53311`	completed	June 22, 2026, 3:25 p.m.
PD	Predicate disambiguation	`batch_69f7b9a4aad48190a62e41c5e39339d9`	completed	May 3, 2026, 9:09 p.m.

Created at: May 3, 2026, 4:09 p.m.