Triple

T2152008
Position Surface form Disambiguated ID Type / Status
Subject Lukas Haas E47800 entity
Predicate givenName P17 FINISHED
Object Lukas E202706 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: Lukas | Statement: [Lukas Haas, givenName, Lukas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lukas
Context triple: [Lukas Haas, givenName, Lukas]
  • A. Lukas chosen
    Lukas is a masculine given name commonly used in various European countries, often associated with the biblical name Luke.
  • B. Luka
    Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
  • C. Lukas Haas
    Lukas Haas is an American actor known for his early breakthrough role in "Witness" (1985) and a diverse career spanning independent films and major Hollywood productions.
  • D. Mateo
    Mateo is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the Hebrew name Matthew, meaning "gift of God."
  • E. Lucas Sinclair
    Lucas Sinclair is a brave and resourceful member of the core friend group in the sci-fi horror series "Stranger Things," known for his skepticism, loyalty, and slingshot-wielding courage.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe48ad148190a7d6cc88fd38a660 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d940bec8190998ef88ed44e5811 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:44 p.m.