Triple

T12567297
Position Surface form Disambiguated ID Type / Status
Subject Donald Tsang E295503 entity
Predicate honorificSuffix P341 FINISHED
Object GBM
GBM is a prestigious Hong Kong honor, the Grand Bauhinia Medal, awarded for exceptionally distinguished public and community service.
 E990727 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: GBM | Statement: [Donald Tsang, honorificSuffix, GBM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GBM
Context triple: [Donald Tsang, honorificSuffix, GBM]
  • A. GBM
    GBM is the Gamma-ray Burst Monitor, an instrument on NASA’s Fermi Gamma-ray Space Telescope designed to detect and study gamma-ray bursts across a wide field of view.
  • B. HGG
    HGG is the stock ticker symbol for Henderson Global Investors, an international asset management firm.
  • C. GBM Delta
    GBM Delta is one of the world’s largest and most fertile river deltas, formed by the confluence of the Ganges, Brahmaputra, and Meghna rivers in South Asia.
  • D. GFAP
    GFAP is the commonly used abbreviation for the General Framework Agreement for Peace, the treaty that ended the Bosnian War in 1995.
  • E. Grey Matter
    Grey Matter is a small, highly intelligent Galvan alien form that Ben Tennyson transforms into in the Ben 10 franchise, known for his genius-level problem-solving and technical skills.
  • 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: GBM
Triple: [Donald Tsang, honorificSuffix, GBM]
Generated description
GBM is a prestigious Hong Kong honor, the Grand Bauhinia Medal, awarded for exceptionally distinguished public and community service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GBM
Target entity description: GBM is a prestigious Hong Kong honor, the Grand Bauhinia Medal, awarded for exceptionally distinguished public and community service.
  • A. GBM
    GBM is the Gamma-ray Burst Monitor, an instrument on NASA’s Fermi Gamma-ray Space Telescope designed to detect and study gamma-ray bursts across a wide field of view.
  • B. HGG
    HGG is the stock ticker symbol for Henderson Global Investors, an international asset management firm.
  • C. GBM Delta
    GBM Delta is one of the world’s largest and most fertile river deltas, formed by the confluence of the Ganges, Brahmaputra, and Meghna rivers in South Asia.
  • D. GFAP
    GFAP is the commonly used abbreviation for the General Framework Agreement for Peace, the treaty that ended the Bosnian War in 1995.
  • E. Grey Matter
    Grey Matter is a small, highly intelligent Galvan alien form that Ben Tennyson transforms into in the Ben 10 franchise, known for his genius-level problem-solving and technical skills.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a325948190994bcfc9d571a3a8 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655914f908190afbebbec3cb57e73 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f657e504c881909b960acc7758b39d completed May 2, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69f658a80fd08190b1b8c161ca6e56ec completed May 2, 2026, 8:03 p.m.
Created at: April 8, 2026, 11:49 p.m.