Triple

T16066612
Position Surface form Disambiguated ID Type / Status
Subject Omaar E389747 entity
Predicate hasOrthographicRelation P12752 FINISHED
Object Omar E93158 NE FINISHED

How this triple was built (3 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: Omar | Statement: [Omaar, hasOrthographicRelation, Omar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Omar
Context triple: [Omaar, hasOrthographicRelation, Omar]
  • A. Omar chosen
    Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
  • B. Omar
    Omar is a critically acclaimed Palestinian thriller film directed by Hany Abu-Assad that explores love, betrayal, and resistance under Israeli occupation.
  • C. Omar
    Omar is a minor biblical figure listed in the Book of Genesis as one of the descendants of Esau.
  • D. Yahya
    Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
  • E. Sallah
    Sallah is a jovial, resourceful Egyptian excavator and close ally of Indiana Jones who helps him navigate dangerous archaeological adventures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrthographicRelation
Context triple: [Omaar, hasOrthographicRelation, Omar]
  • A. hasTypologicalRelation
    Indicates a relationship where two linguistic entities are connected based on shared structural or typological features, such as word order, morphology, or phonological patterns.
  • B. hasOrthographicConvention
    Indicates that there is a specific writing or spelling convention that governs how something is represented in written form.
  • C. hasOrthographicReform
    Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
  • D. orthographicProperty chosen
    Indicates a relationship where a specific written or spelling-related characteristic is attributed to or associated with an entity.
  • E. hasOrthographicPreference
    Indicates that one entity prefers or selects a particular written or spelling form of another entity.
  • F. None of above.

Provenance (4 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeeb32348190a1896059479c236c completed May 10, 2026, 3:43 a.m.
PD Predicate disambiguation batch_69e18272f2288190a17d45fb01cc2b07 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:57 a.m.