Triple

T16035284
Position Surface form Disambiguated ID Type / Status
Subject Icíar Bollaín E388954 entity
Predicate notableWork P4 FINISHED
Object Maixabel
Maixabel is a Spanish drama film that portrays the true story of Maixabel Lasa, a woman who confronts the ETA terrorists who murdered her husband, exploring themes of grief, forgiveness, and reconciliation.
 E1190601 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: Maixabel | Statement: [Icíar Bollaín, notableWork, Maixabel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maixabel
Context triple: [Icíar Bollaín, notableWork, Maixabel]
  • A. Miguel
    Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
  • B. Miguel
    Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
  • C. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • D. Maite
    Maite is a village district within the municipality of Mongmong-Toto-Maite on the island of Guam.
  • E. Alonsito
    Alonsito is a Spanish affectionate diminutive form of the given name Alonso, often used to convey endearment or familiarity.
  • 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: Maixabel
Triple: [Icíar Bollaín, notableWork, Maixabel]
Generated description
Maixabel is a Spanish drama film that portrays the true story of Maixabel Lasa, a woman who confronts the ETA terrorists who murdered her husband, exploring themes of grief, forgiveness, and reconciliation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maixabel
Target entity description: Maixabel is a Spanish drama film that portrays the true story of Maixabel Lasa, a woman who confronts the ETA terrorists who murdered her husband, exploring themes of grief, forgiveness, and reconciliation.
  • A. Miguel
    Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
  • B. Miguel
    Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
  • C. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • D. Maite
    Maite is a village district within the municipality of Mongmong-Toto-Maite on the island of Guam.
  • E. Alonsito
    Alonsito is a Spanish affectionate diminutive form of the given name Alonso, often used to convey endearment or familiarity.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1833b84608190887dafda5d081dc0 completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd3a1248190ad055892cebde5f0 completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffdc5fd30c8190aaf66482f24285b4 completed May 10, 2026, 1:16 a.m.
NED2 Entity disambiguation (via description) batch_69ffdd0392e08190af42a0cdc5dd4c1f completed May 10, 2026, 1:18 a.m.
Created at: April 10, 2026, 4:56 a.m.