Triple

T7549172
Position Surface form Disambiguated ID Type / Status
Subject LaPrincia Brown E178484 entity
Predicate givenName P17 FINISHED
Object LaPrincia
LaPrincia is an American media personality and the daughter of the late singer Bobby Brown.
 E671465 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: LaPrincia | Statement: [LaPrincia Brown, givenName, LaPrincia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LaPrincia
Context triple: [LaPrincia Brown, givenName, LaPrincia]
  • A. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • B. Nursina
    Nursina is the demonym for an inhabitant or native of the ancient Italian town of Nursia (modern Norcia).
  • C. Celestún
    Celestún is a small coastal town in the Mexican state of Yucatán, known for its beaches, fishing community, and as a gateway to nearby flamingo-filled wetlands and nature reserves.
  • D. Ainaro
    Ainaro is a mountainous municipality in central-southern Timor-Leste known for its rural communities and use of the Mambae language.
  • E. Trisaia
    Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
  • 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: LaPrincia
Triple: [LaPrincia Brown, givenName, LaPrincia]
Generated description
LaPrincia is an American media personality and the daughter of the late singer Bobby Brown.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LaPrincia
Target entity description: LaPrincia is an American media personality and the daughter of the late singer Bobby Brown.
  • A. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • B. Nursina
    Nursina is the demonym for an inhabitant or native of the ancient Italian town of Nursia (modern Norcia).
  • C. Celestún
    Celestún is a small coastal town in the Mexican state of Yucatán, known for its beaches, fishing community, and as a gateway to nearby flamingo-filled wetlands and nature reserves.
  • D. Ainaro
    Ainaro is a mountainous municipality in central-southern Timor-Leste known for its rural communities and use of the Mambae language.
  • E. Trisaia
    Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b35ba481908e1e5bbf329daa33 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2b0de48190a854b4d4935c2254 completed March 28, 2026, 9:59 p.m.
NEDg Description generation batch_69c85188f2648190abf2224cf272f5ac completed March 28, 2026, 10:09 p.m.
NED2 Entity disambiguation (via description) batch_69c85238850081908fc50fa9c0f6c767 completed March 28, 2026, 10:12 p.m.
Created at: March 27, 2026, 3:49 p.m.