Triple

T34826073

Position	Surface form	Disambiguated ID	Type / Status
Subject	Braves	`E1003924`	entity
Predicate	hasFemaleCounterpartNickname	`P1613`	FINISHED
Object	Lady Braves Lady Braves is the nickname commonly used for female sports teams associated with organizations or schools whose male teams are called the Braves.	`E2113410`	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: Lady Braves | Statement: [Braves, hasFemaleCounterpartNickname, Lady Braves]

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: Lady Braves
Triple: [Braves, hasFemaleCounterpartNickname, Lady Braves]

Generated description

Lady Braves is the nickname commonly used for female sports teams associated with organizations or schools whose male teams are called the Braves.

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

Target predicate: hasFemaleCounterpartNickname
Context triple: [Braves, hasFemaleCounterpartNickname, Lady Braves]

A. hasCounterpartNickname
Indicates that one entity is used as an alternative or counterpart nickname for another entity.
B. hasFemaleEquivalent chosen
Indicates that one entity serves as the female counterpart or equivalent of another entity.
C. femaleCounterpartOf
Indicates that one entity is the female equivalent or corresponding counterpart of another entity within a given role, relationship, or category.
D. hasGivenNameCounterpart
Indicates that one entity is the given-name (first-name) counterpart or variant of another entity, typically linking related personal names.
E. usesNicknameForWomen'sTeams
Indicates that an organization or context refers to its women’s sports teams using a distinct nickname (often different from or modified relative to the men’s teams’ nickname).
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_69f76db7d1b4819093bd4912d80d845d`	completed	May 3, 2026, 3:46 p.m.
NER	Named-entity recognition	`batch_69fb3425666081908916fcbf3b5dd907`	completed	May 6, 2026, 12:29 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a376fbf5bec81909d073cbf535cef89`	completed	June 21, 2026, 4:59 a.m.
NEDg	Description generation	`batch_6a37703823ac81908261228f65fcfa4b`	completed	June 21, 2026, 5:01 a.m.
NED2	Entity disambiguation (via description)	`batch_6a37716ab2c48190b7c24792201885c8`	completed	June 21, 2026, 5:06 a.m.
PD	Predicate disambiguation	`batch_69fb2f5f3164819099429c2cc3d24e01`	completed	May 6, 2026, 12:09 p.m.

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