Triple

T17152712
Position Surface form Disambiguated ID Type / Status
Subject Ali Laarayedh E416261 entity
Predicate familyName P18 FINISHED
Object Laarayedh
Laarayedh is the surname of Ali Laarayedh, a Tunisian politician and former Prime Minister known for his role in the post-revolution government.
E1252829 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: Laarayedh | Statement: [Ali Laarayedh, familyName, Laarayedh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laarayedh
Context triple: [Ali Laarayedh, familyName, Laarayedh]
  • A. Larhat
    Larhat is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
  • B. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • C. Laghée
    Laghée is a regional variety of the Lombard language traditionally spoken around Lake Como in northern Italy.
  • D. Lahej
    Lahej was a former sultanate in southern Arabia that later became part of the British-influenced Federation of South Arabian states.
  • E. Salayea
    Salayea is a town in northwestern Liberia located within Lofa County.
  • 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: Laarayedh
Triple: [Ali Laarayedh, familyName, Laarayedh]
Generated description
Laarayedh is the surname of Ali Laarayedh, a Tunisian politician and former Prime Minister known for his role in the post-revolution government.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laarayedh
Target entity description: Laarayedh is the surname of Ali Laarayedh, a Tunisian politician and former Prime Minister known for his role in the post-revolution government.
  • A. Larhat
    Larhat is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
  • B. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • C. Laghée
    Laghée is a regional variety of the Lombard language traditionally spoken around Lake Como in northern Italy.
  • D. Lahej
    Lahej was a former sultanate in southern Arabia that later became part of the British-influenced Federation of South Arabian states.
  • E. Salayea
    Salayea is a town in northwestern Liberia located within Lofa County.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40861e08190bad1a3ec87691132 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415d19288190beb3c94da2ce8c0e completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01422c0f088190b162c7086bc93585 completed May 11, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_6a0142f274ec819081eb15a3ea0e1b13 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:36 a.m.