Triple

T9466648
Position Surface form Disambiguated ID Type / Status
Subject MIT Linguistics Section E228287 entity
Predicate notableFaculty P141 FINISHED
Object Donca Steriade E174231 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: Donca Steriade | Statement: [MIT Linguistics Section, notableFaculty, Donca Steriade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donca Steriade
Context triple: [MIT Linguistics Section, notableFaculty, Donca Steriade]
  • A. Donca Steriade chosen
    Donca Steriade is a prominent linguist and phonologist known for influential work on segmental phonology, syllable structure, and the theory of lexical and positional neutralization.
  • B. Mircea Dinescu
    Mircea Dinescu is a Romanian poet, dissident, and public intellectual known for his outspoken opposition to the Ceaușescu regime and his prominent role in the 1989 Romanian Revolution.
  • C. Gheorghe Avramescu
    Gheorghe Avramescu was a Romanian general during World War II who played a significant role on the Eastern Front and later in Romania’s switch to the Allied side.
  • D. Ioan Negulescu
    Ioan Negulescu, better known as Jean Negulesco, was a Romanian-born American film director and screenwriter noted for his work in Hollywood during the 1940s and 1950s, including films like "How to Marry a Millionaire."
  • E. Dumitru Erhan
    Dumitru Erhan is a computer scientist and machine learning researcher known for influential work in deep learning and neural networks.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdc08f08190ad17de08d2c2eca2 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122ba3d948190a3fa947cd3cad63b completed April 4, 2026, 2:39 p.m.
Created at: March 30, 2026, 7:53 p.m.