Triple

T9565250
Position Surface form Disambiguated ID Type / Status
Subject Amanda E230773 entity
Predicate hasDiminutive P456 FINISHED
Object Manda E175236 NE FINISHED

How this triple was built (2 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: Manda | Statement: [Amanda, hasDiminutive, Manda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manda
Context triple: [Amanda, hasDiminutive, Manda]
  • A. Manda chosen
    Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
  • B. Mandabi
    Mandabi is a 1968 Senegalese film by Ousmane Sembène that satirically portrays postcolonial bureaucracy and social inequality through the story of a man trying to cash a money order.
  • C. Mandar
    Mandar are an indigenous ethnic group of South Sulawesi in Indonesia, known for their seafaring traditions, distinctive language, and rich maritime culture.
  • D. Mandegusu
    Mandegusu is an alternate name for Simbo, an island in the Western Province of the Solomon Islands in the South Pacific.
  • E. Mani
    Mani is a diminutive form of the given name Marian, commonly used as a familiar or affectionate nickname.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996a01b081908e2782f41520f73d completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152abb0788190ab2e204d9a082ccf completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.