Triple

T24251670

Position	Surface form	Disambiguated ID	Type / Status
Subject	María García	`E603542`	entity
Predicate	sharesGivenNameWithMany	`P29733`	FINISHED
Object	María is one of the most frequent Spanish female given names María García is a very common Spanish female personal name formed by pairing the widespread given name María with the frequent surname García.	`E1624847`	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: María is one of the most frequent Spanish female given names | Statement: [María García, sharesGivenNameWithMany, María is one of the most frequent Spanish female given names]

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: María is one of the most frequent Spanish female given names
Triple: [María García, sharesGivenNameWithMany, María is one of the most frequent Spanish female given names]

Generated description

María García is a very common Spanish female personal name formed by pairing the widespread given name María with the frequent surname García.

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

Target predicate: sharesGivenNameWithMany
Context triple: [María García, sharesGivenNameWithMany, María is one of the most frequent Spanish female given names]

A. sharesGivenNameWith
Indicates that two entities have the same given (first) name.
B. sharesNameWithMultiplePeople chosen
Indicates that an entity has the same name as more than one distinct other entity.
C. sharesNameWith
Indicates that two entities have the same name or an identical naming designation.
D. sharesNameRootWith
Indicates that two entities have names derived from the same linguistic root or base form.
E. sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
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_69e29540da0481909a38bdae315b7a02`	completed	April 17, 2026, 8:17 p.m.
NER	Named-entity recognition	`batch_69f28b89eb8081909ccf37081add5cee`	completed	April 29, 2026, 10:51 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0fbd39b8b881909a8623093e0464c0`	completed	May 22, 2026, 2:19 a.m.
NEDg	Description generation	`batch_6a0fbf90cb488190acfdf236e2b28338`	completed	May 22, 2026, 2:29 a.m.
NED2	Entity disambiguation (via description)	`batch_6a0fc06a9f2481909c0e770b96664781`	completed	May 22, 2026, 2:33 a.m.
PD	Predicate disambiguation	`batch_69f1c450aa508190bc9d372a5f6ee47a`	completed	April 29, 2026, 8:41 a.m.

Created at: April 18, 2026, 12:05 a.m.