Triple

T6705296
Position Surface form Disambiguated ID Type / Status
Subject Denise Di Novi E152988 entity
Predicate familyName P18 FINISHED
Object Di Novi
Di Novi is the surname of Denise Di Novi, an American film producer known for her work on numerous popular Hollywood movies.
E613907 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: Di Novi | Statement: [Denise Di Novi, familyName, Di Novi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Di Novi
Context triple: [Denise Di Novi, familyName, Di Novi]
  • A. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • B. Nagode
    "Nagode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and blend of contemporary and African musical elements.
  • C. Odzaci
    Odžaci is a town and municipality in the Bačka region of northern Serbia, known for its agricultural production and location near the Danube River.
  • D. Razlog
    Razlog is a small Bulgarian town nestled in a mountain valley near the popular ski resort of Bansko, known for its scenic surroundings and traditional architecture.
  • E. Sedini
    Sedini is a small historic town in northern Sardinia, Italy, known for its distinctive rock-carved dwellings and traditional rural character.
  • 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: Di Novi
Triple: [Denise Di Novi, familyName, Di Novi]
Generated description
Di Novi is the surname of Denise Di Novi, an American film producer known for her work on numerous popular Hollywood movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Di Novi
Target entity description: Di Novi is the surname of Denise Di Novi, an American film producer known for her work on numerous popular Hollywood movies.
  • A. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • B. Nagode
    "Nagode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and blend of contemporary and African musical elements.
  • C. Odzaci
    Odžaci is a town and municipality in the Bačka region of northern Serbia, known for its agricultural production and location near the Danube River.
  • D. Razlog
    Razlog is a small Bulgarian town nestled in a mountain valley near the popular ski resort of Bansko, known for its scenic surroundings and traditional architecture.
  • E. Sedini
    Sedini is a small historic town in northern Sardinia, Italy, known for its distinctive rock-carved dwellings and traditional rural character.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0ea8cfc819081affc73603c2cf3 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70088916881908dda568d3116216f completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c7048843e081908b70942a91a390fe completed March 27, 2026, 10:28 p.m.
NED2 Entity disambiguation (via description) batch_69c705240f54819094e8715ffd66b352 completed March 27, 2026, 10:31 p.m.
Created at: March 27, 2026, 2:06 p.m.