Triple

T16895072
Position Surface form Disambiguated ID Type / Status
Subject Laura Benanti E424277 entity
Predicate familyName P18 FINISHED
Object Benanti
Benanti is an Italian surname most notably associated with Tony Award–winning Broadway actress and singer Laura Benanti.
E1240017 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: Benanti | Statement: [Laura Benanti, familyName, Benanti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benanti
Context triple: [Laura Benanti, familyName, Benanti]
  • A. Delebio
    Delebio is a municipality in the Province of Sondrio in the Lombardy region of northern Italy, situated in the Valtellina area near Lake Como.
  • B. Pindiali
    Pindiali is a settlement located in the Mohmand region of northwestern Pakistan, near the border with Afghanistan.
  • C. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • D. Pombia
    Pombia is a small municipality in Italy’s Piedmont region, historically notable as the place where Liudolf, Duke of Swabia, died.
  • E. Kantua
    Kantua is a lesser-known language belonging to the Katuic branch of the Austroasiatic language family, spoken by an ethnic minority in mainland Southeast Asia.
  • 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: Benanti
Triple: [Laura Benanti, familyName, Benanti]
Generated description
Benanti is an Italian surname most notably associated with Tony Award–winning Broadway actress and singer Laura Benanti.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Benanti
Target entity description: Benanti is an Italian surname most notably associated with Tony Award–winning Broadway actress and singer Laura Benanti.
  • A. Delebio
    Delebio is a municipality in the Province of Sondrio in the Lombardy region of northern Italy, situated in the Valtellina area near Lake Como.
  • B. Pindiali
    Pindiali is a settlement located in the Mohmand region of northwestern Pakistan, near the border with Afghanistan.
  • C. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • D. Pombia
    Pombia is a small municipality in Italy’s Piedmont region, historically notable as the place where Liudolf, Duke of Swabia, died.
  • E. Kantua
    Kantua is a lesser-known language belonging to the Katuic branch of the Austroasiatic language family, spoken by an ethnic minority in mainland Southeast Asia.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d7aec88190888f13601acbcd77 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7aa83bc8190832d2f3903ce0081 completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c8b9e4888190b25dd3256fc13dd1 completed May 10, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_6a00c9672ab881909770b4fe551ec622 completed May 10, 2026, 6:07 p.m.
Created at: April 10, 2026, 5:29 a.m.