Triple

T20112863
Position Surface form Disambiguated ID Type / Status
Subject Marco Rubio Rivera E490376 entity
Predicate givenName P17 FINISHED
Object Marco
Marco is a masculine given name of Latin origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
 E1411845 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: [Marco Rubio Rivera, givenName, Marco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marco
Context triple: [Marco Rubio Rivera, givenName, 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. Marcus
    Marcus is a masculine given name of ancient Roman origin that has been widely used across many cultures and historical periods.
  • E. Largo Magnanapoli
    Largo Magnanapoli is a small historic square in central Rome, situated near major thoroughfares and notable landmarks such as the Quirinal Hill.
  • 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: [Marco Rubio Rivera, givenName, Marco]
Generated description
Marco is a masculine given name of Latin origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marco
Target entity description: Marco is a masculine given name of Latin origin, commonly used in Italian, Spanish, and Portuguese-speaking countries.
  • 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. Marcus
    Marcus is a masculine given name of ancient Roman origin that has been widely used across many cultures and historical periods.
  • E. Largo Magnanapoli
    Largo Magnanapoli is a small historic square in central Rome, situated near major thoroughfares and notable landmarks such as the Quirinal Hill.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e666e21f908190b46c747662ff378a completed April 20, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082719f56481908143daf05e9b5362 completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a0829ea1a648190b9574c4398185329 completed May 16, 2026, 8:25 a.m.
NED2 Entity disambiguation (via description) batch_6a082a5093988190894006cac95b2ff8 completed May 16, 2026, 8:26 a.m.
Created at: April 11, 2026, 11:29 p.m.