Triple

T2104562
Position Surface form Disambiguated ID Type / Status
Subject Eduardo E37162 entity
Predicate shortForm P43 FINISHED
Object Lalo
Lalo is a common Spanish nickname for the given name Eduardo.
 E234466 NE FINISHED

How this triple was built (4 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: Lalo | Statement: [Eduardo, shortForm, Lalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lalo
Context triple: [Eduardo, shortForm, Lalo]
  • A. Sabetzki
    Sabetzki is a German surname most notably associated with Günther Sabetzki, a prominent ice hockey executive and former president of the International Ice Hockey Federation.
  • B. Chuch’e
    Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
  • C. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • D. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • E. Pacho
    Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Lalo
Triple: [Eduardo, shortForm, Lalo]
Generated description
Lalo is a common Spanish nickname for the given name Eduardo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lalo
Target entity description: Lalo is a common Spanish nickname for the given name Eduardo.
  • A. Sabetzki
    Sabetzki is a German surname most notably associated with Günther Sabetzki, a prominent ice hockey executive and former president of the International Ice Hockey Federation.
  • B. Chuch’e
    Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
  • C. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • D. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • E. Pacho
    Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
  • F. None of above. chosen

Provenance (5 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbadcd4a081909d60b9b241950335 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3069f78c819092a6d9d903e4df13 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae311eec148190af10e88fb4d7c433 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae3199909881909ffca021098c98ea completed March 9, 2026, 2:34 a.m.
Created at: March 4, 2026, 7:43 p.m.