Triple

T9353411
Position Surface form Disambiguated ID Type / Status
Subject Truong Chinh E225073 entity
Predicate usedPseudonym P3799 FINISHED
Object Song Hong E225073 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: Song Hong | Statement: [Truong Chinh, usedPseudonym, Song Hong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Song Hong
Context triple: [Truong Chinh, usedPseudonym, Song Hong]
  • A. Song Hong chosen
    Song Hong is a pseudonym used by Truong Chinh, a prominent Vietnamese communist leader and theorist who played a key role in the country’s revolutionary movement and early government.
  • B. Cheng Hong
    Cheng Hong is a Chinese scholar and professor of English literature, best known publicly as the wife of former Chinese premier Li Keqiang.
  • C. Ko Hong
    Ko Hong is a scenic limestone island in Thailand’s Krabi province, known for its turquoise lagoon, white-sand beaches, and popular kayaking and snorkeling spots.
  • D. Han Sing
    Han Sing is a skilled ex-cop and martial artist, portrayed by Jet Li, who seeks vengeance and uncovers a criminal conspiracy in the action film "Romeo Must Die."
  • E. Tinglan Hong
    Tinglan Hong is a Chinese-born former London restaurant hostess best known as the mother of Hugh Grant’s daughter Tabitha and son Felix.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f9515008190b01fbb43d673de2a completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e44f0a7881908b53a97715f4c6da completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.