Triple

T17240862
Position Surface form Disambiguated ID Type / Status
Subject Richard Grieco E418492 entity
Predicate appearedIn P795 FINISHED
Object Marker E1259619 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: Marker | Statement: [Richard Grieco, appearedIn, Marker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marker
Context triple: [Richard Grieco, appearedIn, Marker]
  • A. Marker
    Marker is a rural municipality in Viken county, southeastern Norway, known for its forests, lakes, and location near the Swedish border.
  • B. Marker chosen
    "Marker" is a mid-1990s American crime drama television series starring Richard Grieco as a man who travels to help people in need while redeeming his late father's debts.
  • C. Marks
    Marks is a surname of English and Jewish origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • D. the Mark
    The Mark, also known as Rohan, is a prominent kingdom of horse-lords in J.R.R. Tolkien’s Middle-earth, famed for its cavalry and alliance with Gondor.
  • E. Mark
    The Mark was the basic unit of currency used in Germany during various historical periods, including the era of the Papiermark.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e203ec88190a21f38cbb18a14fa completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01793efa288190b63f641381566bb9 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:39 a.m.