Triple

T17141076
Position Surface form Disambiguated ID Type / Status
Subject 陳慧琳 E415962 entity
Predicate notableWork P4 FINISHED
Object 《有福氣》
《有福氣》是一首由香港流行歌手陳慧琳演唱的粵語流行歌曲。
 E1252159 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: 《有福氣》 | Statement: [陳慧琳, notableWork, 《有福氣》]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 《有福氣》
Context triple: [陳慧琳, notableWork, 《有福氣》]
  • A. “Sunshine Feel Good”
    “Sunshine Feel Good” is a track from Snoop Dogg’s gospel-influenced album *Bible of Love*, blending uplifting lyrics with soulful, feel-good production.
  • B. How Lucky Can a Man Get
    "How Lucky Can a Man Get" is a song featured on the album "Make a Move," likely known as one of its notable tracks.
  • C. Good Luck!!
    Good Luck!! is a popular Japanese television drama series centered on the professional and personal lives of airline pilots and crew.
  • D. “Lady Luck”
    “Lady Luck” is a song by the American rock band Journey, featured on their 1979 album "Evolution."
  • E. Fortune Smiles
    Fortune Smiles is a critically acclaimed short story collection by American author Adam Johnson that explores themes of technology, trauma, and political oppression through darkly comic and emotionally complex narratives.
  • 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: 《有福氣》
Triple: [陳慧琳, notableWork, 《有福氣》]
Generated description
《有福氣》是一首由香港流行歌手陳慧琳演唱的粵語流行歌曲。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 《有福氣》
Target entity description: 《有福氣》是一首由香港流行歌手陳慧琳演唱的粵語流行歌曲。
  • A. “Sunshine Feel Good”
    “Sunshine Feel Good” is a track from Snoop Dogg’s gospel-influenced album *Bible of Love*, blending uplifting lyrics with soulful, feel-good production.
  • B. How Lucky Can a Man Get
    "How Lucky Can a Man Get" is a song featured on the album "Make a Move," likely known as one of its notable tracks.
  • C. Good Luck!!
    Good Luck!! is a popular Japanese television drama series centered on the professional and personal lives of airline pilots and crew.
  • D. “Lady Luck”
    “Lady Luck” is a song by the American rock band Journey, featured on their 1979 album "Evolution."
  • E. Fortune Smiles
    Fortune Smiles is a critically acclaimed short story collection by American author Adam Johnson that explores themes of technology, trauma, and political oppression through darkly comic and emotionally complex narratives.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d44a508190a3a149c3a64957f5 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014154b9848190ac01602eb01ae710 completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01425d2c20819084c0fa3bd413ebfa completed May 11, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0142dbb6f48190a631a05c5bada0e4 completed May 11, 2026, 2:45 a.m.
Created at: April 10, 2026, 5:36 a.m.