Triple

T11790006
Position Surface form Disambiguated ID Type / Status
Subject Alexandre Millerand E280363 entity
Predicate familyName P18 FINISHED
Object Millerand
Millerand is a French surname most notably associated with Alexandre Millerand, a prominent early 20th-century French statesman and President of France.
 E946766 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: Millerand | Statement: [Alexandre Millerand, familyName, Millerand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Millerand
Context triple: [Alexandre Millerand, familyName, Millerand]
  • A. Miller
    Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • B. Millard
    Millard is the given name of Millard Fillmore, the 13th president of the United States.
  • C. Müller
    Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
  • D. Regardie
    Regardie is the surname of Israel Regardie, a prominent 20th-century occultist and author associated with the Hermetic Order of the Golden Dawn.
  • E. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • 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: Millerand
Triple: [Alexandre Millerand, familyName, Millerand]
Generated description
Millerand is a French surname most notably associated with Alexandre Millerand, a prominent early 20th-century French statesman and President of France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Millerand
Target entity description: Millerand is a French surname most notably associated with Alexandre Millerand, a prominent early 20th-century French statesman and President of France.
  • A. Miller
    Miller is a common English and Scottish occupational surname historically given to people who worked in grain mills.
  • B. Millard
    Millard is the given name of Millard Fillmore, the 13th president of the United States.
  • C. Müller
    Müller is a common German surname, equivalent to "Miller" in English, historically associated with the occupation of operating a mill.
  • D. Regardie
    Regardie is the surname of Israel Regardie, a prominent 20th-century occultist and author associated with the Hermetic Order of the Golden Dawn.
  • E. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a587c2d881909297c3a6c7d26080 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090f62bdc8190a8fd145839aef554 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.