Triple

T10390119
Position Surface form Disambiguated ID Type / Status
Subject David Simas E244869 entity
Predicate familyName P18 FINISHED
Object Simas E244869 NE FINISHED

How this triple was built (2 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. Simas chosen
    Simas is a surname most notably associated with David Simas, an American lawyer and former political advisor who served in the Obama administration.
  • B. Zydrunas
    Zydrunas is a Lithuanian masculine given name most notably borne by former NBA center Zydrunas Ilgauskas.
  • C. Petras
    Petras is an important Minoan archaeological site near Sitia on the island of Crete, known for its palace complex and rich Bronze Age remains.
  • D. Marčiulionis
    Marčiulionis is a Lithuanian surname most famously associated with Šarūnas Marčiulionis, a pioneering European guard in the NBA and a key figure in Lithuanian basketball history.
  • E. Cilnius
    Cilnius is an ancient Roman family name associated with the aristocratic lineage to which the influential patron of the arts Gaius Maecenas belonged.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b4f7d08190bcb16d3b4c8f22ad completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795b2423c8190a7c0e9b6fcbcc6db completed April 9, 2026, 12:04 p.m.
Created at: April 6, 2026, 12:05 p.m.