Triple

T2598455
Position Surface form Disambiguated ID Type / Status
Subject Eddie Albert E58287 entity
Predicate spouse P13 FINISHED
Object Margo
Margo was a Mexican-American actress and dancer known for her work in Hollywood films of the 1930s and 1940s and for her later stage and television appearances.
 E282085 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: Margo | Statement: [Eddie Albert, spouse, Margo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margo
Context triple: [Eddie Albert, spouse, Margo]
  • A. Margo
    Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
  • B. Julie
    Julie is a feminine given name of Latin origin, commonly used in many Western countries.
  • C. Valerie
    "Valerie" is a 1957 American Western film starring Sterling Hayden, loosely inspired by the Rashomon-style multiple-perspective narrative.
  • D. Annette
    Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
  • E. Annette
    Annette is a 2021 French musical romantic drama film directed by Leos Carax, starring Adam Driver and Marion Cotillard, known for its unconventional storytelling and operatic style.
  • 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: Margo
Triple: [Eddie Albert, spouse, Margo]
Generated description
Margo was a Mexican-American actress and dancer known for her work in Hollywood films of the 1930s and 1940s and for her later stage and television appearances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margo
Target entity description: Margo was a Mexican-American actress and dancer known for her work in Hollywood films of the 1930s and 1940s and for her later stage and television appearances.
  • A. Margo
    Margo is the responsible and intelligent eldest of Gru’s three adopted daughters in the Despicable Me franchise.
  • B. Julie
    Julie is a feminine given name of Latin origin, commonly used in many Western countries.
  • C. Valerie
    "Valerie" is a 1957 American Western film starring Sterling Hayden, loosely inspired by the Rashomon-style multiple-perspective narrative.
  • D. Annette
    Annette is a feminine given name of French origin, commonly used in various European and English-speaking countries.
  • E. Annette
    Annette is a 2021 French musical romantic drama film directed by Leos Carax, starring Adam Driver and Marion Cotillard, known for its unconventional storytelling and operatic style.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd4563b8c8190934616651e93654c completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83cc45f8819099d581725a53e527 completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af84a15b5c8190bb68b6ff313adb6c completed March 10, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69af85a6060c8190a80d5633d1b8a9d5 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.