Triple

T2228281
Position Surface form Disambiguated ID Type / Status
Subject David Simas E48704 entity
Predicate familyName P18 FINISHED
Object Simas
Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
 E244869 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: Simas | Statement: [David Simas, familyName, Simas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Simas
Context triple: [David Simas, familyName, Simas]
  • A. Mikelis
    Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
  • B. Andris
    Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
  • C. Emilis
    Emilis is a given name, primarily used in Lithuanian and other Baltic or Eastern European contexts, derived from the name Emil.
  • D. Laodamas
    Laodamas is a prince in Greek mythology, best known as the favored son of King Alcinous of the Phaeacians in Homer's Odyssey.
  • E. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • 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: Simas
Triple: [David Simas, familyName, Simas]
Generated description
Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Simas
Target entity description: Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
  • A. Mikelis
    Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
  • B. Andris
    Andris is a masculine given name commonly used in Latvia and other Baltic and Nordic countries, equivalent to Andrew in English.
  • C. Emilis
    Emilis is a given name, primarily used in Lithuanian and other Baltic or Eastern European contexts, derived from the name Emil.
  • D. Laodamas
    Laodamas is a prince in Greek mythology, best known as the favored son of King Alcinous of the Phaeacians in Homer's Odyssey.
  • E. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0670ce48190b98814064bff0517 completed March 7, 2026, 6:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6567b64c8190ab718f20bbf033df completed March 9, 2026, 6:15 a.m.
NEDg Description generation batch_69ae666bd32c81909ff15201757a6c76 completed March 9, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae66d8ba688190a2102c00fc6231c4 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:47 p.m.