Triple

T14785479
Position Surface form Disambiguated ID Type / Status
Subject Martín (Hache) E347511 entity
Predicate character P662 FINISHED
Object Hache
Hache is the troubled, introspective young protagonist of the Argentine-Spanish film "Martín (Hache)," whose return to Buenos Aires forces him to confront questions of identity, family, and belonging.
 E1120550 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: Hache | Statement: [Martín (Hache), character, Hache]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hache
Context triple: [Martín (Hache), character, Hache]
  • A. الحافرة
    الحافرة هو أحد الأسماء التي تُطلق على سورة التوبة في القرآن الكريم، ويُعرف أيضًا بسورة براءة.
  • B. The Axe
    The Axe is a novel by Sigrid Undset that forms part of her medieval Norwegian saga cycle "The Master of Hestviken."
  • C. Hachen
    Hachen is a district (Ortsteil) of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • D. Ferno
    Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
  • E. Machetá
    Machetá is a municipality and town in the Cundinamarca Department of Colombia, located in the Andean highlands northeast of Bogotá.
  • 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: Hache
Triple: [Martín (Hache), character, Hache]
Generated description
Hache is the troubled, introspective young protagonist of the Argentine-Spanish film "Martín (Hache)," whose return to Buenos Aires forces him to confront questions of identity, family, and belonging.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hache
Target entity description: Hache is the troubled, introspective young protagonist of the Argentine-Spanish film "Martín (Hache)," whose return to Buenos Aires forces him to confront questions of identity, family, and belonging.
  • A. الحافرة
    الحافرة هو أحد الأسماء التي تُطلق على سورة التوبة في القرآن الكريم، ويُعرف أيضًا بسورة براءة.
  • B. The Axe
    The Axe is a novel by Sigrid Undset that forms part of her medieval Norwegian saga cycle "The Master of Hestviken."
  • C. Hachen
    Hachen is a district (Ortsteil) of the town of Sundern in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • D. Ferno
    Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
  • E. Machetá
    Machetá is a municipality and town in the Cundinamarca Department of Colombia, located in the Andean highlands northeast of Bogotá.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b816388190be1127fe34a58d1d completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe265997d481908cf4fe43504c2631 completed May 8, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe26eb085c81909d69d085caacbc6f completed May 8, 2026, 6:09 p.m.
Created at: April 10, 2026, 1:31 a.m.