Triple

T16645304
Position Surface form Disambiguated ID Type / Status
Subject Mohamed Ennaceur E404451 entity
Predicate familyName P18 FINISHED
Object Ennaceur
Ennaceur is a Tunisian surname most notably borne by Mohamed Ennaceur, a prominent Tunisian politician and former interim president.
 E1226387 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: Ennaceur | Statement: [Mohamed Ennaceur, familyName, Ennaceur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ennaceur
Context triple: [Mohamed Ennaceur, familyName, Ennaceur]
  • A. Nemichthys
    Nemichthys is a genus of deep-sea snipe eels known for their extremely elongated, slender bodies and long, beak-like jaws.
  • B. L'arnacoeur
    L'arnacoeur is a 2010 French romantic comedy film about a professional couple-breaker who is hired to sabotage a woman's relationship but ends up falling in love with her.
  • C. Anzotica
    Anzotica is an Illyrian love and fertility goddess often associated with beauty and sensuality.
  • D. Blepyrus
    Blepyrus is a comic character in Aristophanes’ play *Ecclesiazusae*, typically portrayed as a bemused Athenian husband caught up in the play’s satirical treatment of gender and political reform.
  • E. Snaaib
    Snaaib was a relatively obscure pharaoh of Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
  • 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: Ennaceur
Triple: [Mohamed Ennaceur, familyName, Ennaceur]
Generated description
Ennaceur is a Tunisian surname most notably borne by Mohamed Ennaceur, a prominent Tunisian politician and former interim president.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ennaceur
Target entity description: Ennaceur is a Tunisian surname most notably borne by Mohamed Ennaceur, a prominent Tunisian politician and former interim president.
  • A. Nemichthys
    Nemichthys is a genus of deep-sea snipe eels known for their extremely elongated, slender bodies and long, beak-like jaws.
  • B. L'arnacoeur
    L'arnacoeur is a 2010 French romantic comedy film about a professional couple-breaker who is hired to sabotage a woman's relationship but ends up falling in love with her.
  • C. Anzotica
    Anzotica is an Illyrian love and fertility goddess often associated with beauty and sensuality.
  • D. Blepyrus
    Blepyrus is a comic character in Aristophanes’ play *Ecclesiazusae*, typically portrayed as a bemused Athenian husband caught up in the play’s satirical treatment of gender and political reform.
  • E. Snaaib
    Snaaib was a relatively obscure pharaoh of Egypt’s 13th Dynasty, ruling during the politically fragmented Second Intermediate Period.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad4735c81908a3a227bf02ca489 completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084bf0900819092db11456eb8e1c0 completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a00862fe04481908bc114001357aea9 completed May 10, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_6a00879d9f948190bdf40ff7be2505ff completed May 10, 2026, 1:26 p.m.
Created at: April 10, 2026, 5:18 a.m.