Triple

T21558240
Position Surface form Disambiguated ID Type / Status
Subject Antoine Lahad E531947 entity
Predicate familyName P18 FINISHED
Object Lahad
Lahad is a Lebanese surname most notably associated with Antoine Lahad, a former commander of the South Lebanon Army.
 E1490292 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: Lahad | Statement: [Antoine Lahad, familyName, Lahad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lahad
Context triple: [Antoine Lahad, familyName, Lahad]
  • A. Larhat
    Larhat is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
  • B. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • C. Ladishah
    Ladishah is a traditional Kashmiri folk singing and storytelling genre known for its satirical, humorous commentary on social and political issues.
  • D. Lanahan
    Lanahan is a surname most notably associated with American lawyer and politician Samuel Jackson Lanahan.
  • E. Mangghuer
    Mangghuer is a Mongolic language variety spoken by the Monguor (Tu) people, primarily in northwestern China.
  • 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: Lahad
Triple: [Antoine Lahad, familyName, Lahad]
Generated description
Lahad is a Lebanese surname most notably associated with Antoine Lahad, a former commander of the South Lebanon Army.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lahad
Target entity description: Lahad is a Lebanese surname most notably associated with Antoine Lahad, a former commander of the South Lebanon Army.
  • A. Larhat
    Larhat is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
  • B. Barshaini
    Barshaini is a small Himalayan village in Himachal Pradesh, India, that serves as a popular base and trailhead for treks into the Parvati Valley and surrounding high-altitude landscapes.
  • C. Ladishah
    Ladishah is a traditional Kashmiri folk singing and storytelling genre known for its satirical, humorous commentary on social and political issues.
  • D. Lanahan
    Lanahan is a surname most notably associated with American lawyer and politician Samuel Jackson Lanahan.
  • E. Mangghuer
    Mangghuer is a Mongolic language variety spoken by the Monguor (Tu) people, primarily in northwestern China.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e14af88190bc70b4d0f3453aac completed April 27, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eee9792c8190b3365aeaafd03275 completed May 17, 2026, 4:38 p.m.
NEDg Description generation batch_6a09f02630f881908b2652f71400a849 completed May 17, 2026, 4:43 p.m.
NED2 Entity disambiguation (via description) batch_6a09f0913ce4819097a996528a5f67ab completed May 17, 2026, 4:45 p.m.
Created at: April 16, 2026, 6:29 p.m.