Triple

T22234670
Position Surface form Disambiguated ID Type / Status
Subject Mark Mays E549559 entity
Predicate givenName P17 FINISHED
Object Mark
Mark is a common masculine given name of Latin origin, derived from Marcus and historically associated with the Roman god Mars.
E161211 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: Mark | Statement: [Mark Mays, givenName, Mark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark
Context triple: [Mark Mays, givenName, Mark]
  • A. Mark
    Mark is the first name of Mark Cuban, the American billionaire entrepreneur and owner of the NBA’s Dallas Mavericks.
  • B. Mark
    Mark is the introspective teenage protagonist of the film "As You Are," whose complex friendships and struggles with identity drive the story’s emotional core.
  • C. Mark
    The Mark was the basic unit of currency used in Germany during various historical periods, including the era of the Papiermark.
  • 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
    Mark refers to the historic Margraviate of Brandenburg, a key principality of the Holy Roman Empire that later formed the core territory of Brandenburg-Prussia.
  • 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: Mark
Triple: [Mark Mays, givenName, Mark]
Generated description
Mark is a common masculine given name of Latin origin, derived from Marcus and historically associated with the Roman god Mars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mark
Target entity description: Mark is a common masculine given name of Latin origin, derived from Marcus and historically associated with the Roman god Mars.
  • A. Mark chosen
    Mark is a common masculine given name of Latin origin, derived from Marcus and historically associated with figures such as the evangelist Saint Mark.
  • B. Mark
    Mark is the given name of Mark Zuckerberg, the American technology entrepreneur and co-founder of Facebook.
  • C. Mark
    Mark is the given first name of Mark Lavon Helm, the American musician and actor best known as Levon Helm, drummer and vocalist for The Band.
  • D. Mark
    Mark is the given name of filmmaker Mark Neveldine, known for co-directing high-energy action films like the "Crank" series.
  • E. Mark
    Mark is the real first name of The Undertaker, the legendary professional wrestler best known for his long-running career in WWE.
  • F. None of above.

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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf61504819093e70bee4c575d1c completed April 28, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae79b9bc819087fc52b30ad04781 completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0ab00780f8819086ef4d3e5756133d completed May 18, 2026, 6:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab0befa5481909d00cb845dd67b12 completed May 18, 2026, 6:25 a.m.
Created at: April 16, 2026, 8:38 p.m.