Triple

T17240855
Position Surface form Disambiguated ID Type / Status
Subject Richard Grieco E418492 entity
Predicate notableWork P4 FINISHED
Object Marker
"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.
 E1259619 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: Marker | Statement: [Richard Grieco, notableWork, Marker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marker
Context triple: [Richard Grieco, notableWork, 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. Marks
    Marks is a surname of English and Jewish origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • C. 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.
  • D. Mark
    Mark is a quirky, music-obsessed employee at the independent record store in the 1995 cult film "Empire Records," known for his goofy charm and laid-back attitude.
  • 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. 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: Marker
Triple: [Richard Grieco, notableWork, Marker]
Generated description
"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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marker
Target entity description: "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.
  • A. Marker
    Marker is a rural municipality in Viken county, southeastern Norway, known for its forests, lakes, and location near the Swedish border.
  • B. Marks
    Marks is a surname of English and Jewish origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • C. 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.
  • D. Mark
    The Mark was the basic unit of currency used in Germany during various historical periods, including the era of the Papiermark.
  • E. Mark
    Mark is a quirky, music-obsessed employee at the independent record store in the 1995 cult film "Empire Records," known for his goofy charm and laid-back attitude.
  • 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_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_6a0170f1511c8190b70cb37e713a406a completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a017351db88819097bfbec41920a488 completed May 11, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0175f8c7d48190896f375385829a34 completed May 11, 2026, 6:23 a.m.
Created at: April 10, 2026, 5:39 a.m.