Triple

T12989171
Position Surface form Disambiguated ID Type / Status
Subject Loin des hommes E321851 entity
Predicate characterPortrayed P1507 FINISHED
Object Daru
Daru is the central schoolteacher protagonist in the film "Loin des hommes," who faces a moral dilemma while escorting an Arab prisoner across the Algerian desert during the war of independence.
 E1013656 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: Daru | Statement: [Loin des hommes, characterPortrayed, Daru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daru
Context triple: [Loin des hommes, characterPortrayed, Daru]
  • A. Taygi
    Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
  • B. Tsaangi
    Tsaangi is a Bantu language of Central Africa closely related to Njebi and spoken by communities in Gabon.
  • C. Dugu
    Dugu is a semi-legendary figure sometimes cited as an early founder of the Sayfawa dynasty, the long-ruling royal house of the Kanem-Bornu Empire in Central Africa.
  • D. Shinde
    Shinde is an Indian surname historically associated with the Maratha community and borne by several notable political and public figures.
  • E. Gardo
    Gardo is one of the three impoverished boys who uncover a dangerous secret while scavenging through a landfill in Andy Mulligan’s novel "Trash."
  • 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: Daru
Triple: [Loin des hommes, characterPortrayed, Daru]
Generated description
Daru is the central schoolteacher protagonist in the film "Loin des hommes," who faces a moral dilemma while escorting an Arab prisoner across the Algerian desert during the war of independence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daru
Target entity description: Daru is the central schoolteacher protagonist in the film "Loin des hommes," who faces a moral dilemma while escorting an Arab prisoner across the Algerian desert during the war of independence.
  • A. Taygi
    Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
  • B. Tsaangi
    Tsaangi is a Bantu language of Central Africa closely related to Njebi and spoken by communities in Gabon.
  • C. Dugu
    Dugu is a semi-legendary figure sometimes cited as an early founder of the Sayfawa dynasty, the long-ruling royal house of the Kanem-Bornu Empire in Central Africa.
  • D. Shinde
    Shinde is an Indian surname historically associated with the Maratha community and borne by several notable political and public figures.
  • E. Gardo
    Gardo is one of the three impoverished boys who uncover a dangerous secret while scavenging through a landfill in Andy Mulligan’s novel "Trash."
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e75b9f88190a54372c2a1223a4e completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f942588190b69a3067d5145182 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dcd5cc8190bff5bd153c007866 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb03d8d88190930edd0f49fec8aa completed May 3, 2026, 3:03 a.m.
Created at: April 9, 2026, 8:43 p.m.