Triple

T15115525
Position Surface form Disambiguated ID Type / Status
Subject Margaret Tallichet E361028 entity
Predicate familyName P18 FINISHED
Object Tallichet
Tallichet is a surname most notably associated with American actress Margaret Tallichet, who appeared in several films in the late 1930s and early 1940s.
 E1139007 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: Tallichet | Statement: [Margaret Tallichet, familyName, Tallichet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tallichet
Context triple: [Margaret Tallichet, familyName, Tallichet]
  • A. Camarasa
    Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
  • B. Rabassa
    Rabassa is a surname most notably associated with Gregory Rabassa, the acclaimed American translator of Latin American literature.
  • C. Peralillo
    Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
  • D. Puyarruego
    Puyarruego is a small village in the Spanish Pyrenees known as a gateway to the scenic Añisclo Canyon in Ordesa y Monte Perdido National Park.
  • E. Sangüesa
    Sangüesa is a historic town in northern Spain’s Navarre region, known for its medieval architecture and role as a stop on the Camino de Santiago pilgrimage route.
  • 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: Tallichet
Triple: [Margaret Tallichet, familyName, Tallichet]
Generated description
Tallichet is a surname most notably associated with American actress Margaret Tallichet, who appeared in several films in the late 1930s and early 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tallichet
Target entity description: Tallichet is a surname most notably associated with American actress Margaret Tallichet, who appeared in several films in the late 1930s and early 1940s.
  • A. Camarasa
    Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera region.
  • B. Rabassa
    Rabassa is a surname most notably associated with Gregory Rabassa, the acclaimed American translator of Latin American literature.
  • C. Peralillo
    Peralillo is a rural municipality and town in central Chile’s Colchagua wine-growing region, known for its agricultural production and vineyards.
  • D. Puyarruego
    Puyarruego is a small village in the Spanish Pyrenees known as a gateway to the scenic Añisclo Canyon in Ordesa y Monte Perdido National Park.
  • E. Sangüesa
    Sangüesa is a historic town in northern Spain’s Navarre region, known for its medieval architecture and role as a stop on the Camino de Santiago pilgrimage route.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058f4fb88190a3d446a466aebcf1 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7eee6e8819092657c4006456135 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69febbdadec4819094ca57a4f9ab5009 completed May 9, 2026, 4:45 a.m.
NED2 Entity disambiguation (via description) batch_69febca121a48190ae6994e90b0e040c completed May 9, 2026, 4:48 a.m.
Created at: April 10, 2026, 3:05 a.m.