Triple

T18643016
Position Surface form Disambiguated ID Type / Status
Subject Sheila Lirio Marcelo E455735 entity
Predicate familyName P18 FINISHED
Object Marcelo
Marcelo is a surname most prominently associated with Sheila Lirio Marcelo, the Filipino-American entrepreneur who founded the caregiving platform Care.com.
 E1335132 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: Marcelo | Statement: [Sheila Lirio Marcelo, familyName, Marcelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marcelo
Context triple: [Sheila Lirio Marcelo, familyName, Marcelo]
  • A. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • B. Reinaldo
    Reinaldo is a masculine given name of Spanish and Portuguese origin, equivalent to "Reynaldo" or "Reinald" in English.
  • C. Jorge
    Jorge is a key supporting character and leader of a rebel group in James Dashner’s dystopian Maze Runner sequel "The Scorch Trials."
  • D. Jorge
    Jorge is the given name of the renowned Argentine writer and poet Jorge Luis Borges, a central figure in 20th-century literature.
  • E. Jorge
    Jorge is a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • 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: Marcelo
Triple: [Sheila Lirio Marcelo, familyName, Marcelo]
Generated description
Marcelo is a surname most prominently associated with Sheila Lirio Marcelo, the Filipino-American entrepreneur who founded the caregiving platform Care.com.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marcelo
Target entity description: Marcelo is a surname most prominently associated with Sheila Lirio Marcelo, the Filipino-American entrepreneur who founded the caregiving platform Care.com.
  • A. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • B. Reinaldo
    Reinaldo is a masculine given name of Spanish and Portuguese origin, equivalent to "Reynaldo" or "Reinald" in English.
  • C. Jorge
    Jorge is a key supporting character and leader of a rebel group in James Dashner’s dystopian Maze Runner sequel "The Scorch Trials."
  • D. Jorge
    Jorge is the given name of the renowned Argentine writer and poet Jorge Luis Borges, a central figure in 20th-century literature.
  • E. Jorge
    Jorge is a character portrayed by actor Giancarlo Esposito, known for his nuanced and often intense roles in film and television.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5500b6d7c8190b807b772980d913c completed April 19, 2026, 9:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d865fc48190a11ed96ebfdca50d completed May 13, 2026, 11:47 p.m.
NEDg Description generation batch_6a051058f5788190b782a39feb7f6111 completed May 13, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0510fc0d1081908970c91357bb3444 completed May 14, 2026, 12:02 a.m.
Created at: April 10, 2026, 11:47 a.m.