Triple

T21067885
Position Surface form Disambiguated ID Type / Status
Subject McElligot’s Pool E519023 entity
Predicate mainCharacter P1183 FINISHED
Object Marco
Marco is the imaginative young boy who stars as the protagonist in Dr. Seuss’s children’s book "McElligot’s Pool."
 E1464934 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: Marco | Statement: [McElligot’s Pool, mainCharacter, Marco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marco
Context triple: [McElligot’s Pool, mainCharacter, Marco]
  • A. Marco
    Marco is a central character in Arthur Miller’s play "A View from the Bridge," depicted as a hardworking Italian immigrant whose fierce sense of family loyalty and justice drives much of the drama’s conflict.
  • B. Marco
    Marco is the lightweight window manager used by the MATE desktop environment, designed as a continuation of GNOME 2’s Metacity.
  • C. Marco
    Marco is the costumed bison mascot of North Dakota State University’s athletic teams.
  • D. Marco
    Marco is a masculine given name of Latin origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • E. Marcus
    Marcus is a masculine given name of ancient Roman origin that has been widely used across many cultures and historical periods.
  • 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: Marco
Triple: [McElligot’s Pool, mainCharacter, Marco]
Generated description
Marco is the imaginative young boy who stars as the protagonist in Dr. Seuss’s children’s book "McElligot’s Pool."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marco
Target entity description: Marco is the imaginative young boy who stars as the protagonist in Dr. Seuss’s children’s book "McElligot’s Pool."
  • A. Marco
    Marco is a central character in Arthur Miller’s play "A View from the Bridge," depicted as a hardworking Italian immigrant whose fierce sense of family loyalty and justice drives much of the drama’s conflict.
  • B. Marco
    Marco is the lightweight window manager used by the MATE desktop environment, designed as a continuation of GNOME 2’s Metacity.
  • C. Marco
    Marco is the costumed bison mascot of North Dakota State University’s athletic teams.
  • D. Marco
    Marco is a masculine given name of Latin origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • E. Marcus
    Marcus is a masculine given name of ancient Roman origin that has been widely used across many cultures and historical periods.
  • 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb5772481909e32af3b3a69df76 completed April 21, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09507392e4819088f52cde6c940b6d completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a0952ec874081908ef381ebb49e230c completed May 17, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a09535799cc81908c78b99762c0b1a0 completed May 17, 2026, 5:34 a.m.
Created at: April 16, 2026, 2:45 p.m.