Triple

T17025096
Position Surface form Disambiguated ID Type / Status
Subject Emperor Entertainment Group E413044 entity
Predicate abbreviation P43 FINISHED
Object EEG
EEG is a Hong Kong–based entertainment company known for its work in music, film, and artist management.
E1246387 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: EEG | Statement: [Emperor Entertainment Group, abbreviation, EEG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EEG
Context triple: [Emperor Entertainment Group, abbreviation, EEG]
  • A. EEG
    EEG is an abbreviation that can refer to the Eastern European Group, a regional coalition of Eastern European states within international organizations such as the United Nations.
  • B. Electroencephalography
    Electroencephalography is a noninvasive neurophysiological technique that records electrical activity of the brain via scalp electrodes to study brain function and diagnose neurological conditions.
  • C. MNE
    MNE is the three-letter ISO 3166-1 alpha-3 country code assigned to Montenegro.
  • D. MNE
    MNE is the standard abbreviation used for the Maine Celtics, an NBA G League basketball team based in Portland, Maine.
  • E. MNE
    MNE is the commonly used acronym for Portugal’s Ministry of Foreign Affairs, the government body responsible for the country’s diplomatic relations and foreign policy.
  • 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: EEG
Triple: [Emperor Entertainment Group, abbreviation, EEG]
Generated description
EEG is a Hong Kong–based entertainment company known for its work in music, film, and artist management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EEG
Target entity description: EEG is a Hong Kong–based entertainment company known for its work in music, film, and artist management.
  • A. EEG
    EEG is an abbreviation that can refer to the Eastern European Group, a regional coalition of Eastern European states within international organizations such as the United Nations.
  • B. Electroencephalography
    Electroencephalography is a noninvasive neurophysiological technique that records electrical activity of the brain via scalp electrodes to study brain function and diagnose neurological conditions.
  • C. MNE
    MNE is the three-letter ISO 3166-1 alpha-3 country code assigned to Montenegro.
  • D. MNE
    MNE is the standard abbreviation used for the Maine Celtics, an NBA G League basketball team based in Portland, Maine.
  • E. MNE
    MNE is the commonly used acronym for Portugal’s Ministry of Foreign Affairs, the government body responsible for the country’s diplomatic relations and foreign policy.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d371148190a60d32a72abec09a completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b53306081908972a0a5db474b6c completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011cfb74b88190bbd5af862727790f completed May 11, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a011dad838c8190a1ea560680c9ca57 completed May 11, 2026, 12:07 a.m.
Created at: April 10, 2026, 5:33 a.m.