Triple

T17748571
Position Surface form Disambiguated ID Type / Status
Subject Andy On E443051 entity
Predicate familyName P18 FINISHED
Object On
On is a Chinese-American actor and martial artist known for his roles in Hong Kong action films such as "Black Mask 2: City of Masks" and "Special ID."
E1286055 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: On | Statement: [Andy On, familyName, On]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: On
Context triple: [Andy On, familyName, On]
  • A. ON
    ON is the stock ticker symbol for onsemi, a leading semiconductor manufacturer specializing in power and sensing technologies.
  • B. Ond
    Ond is a statue featured at Budapest’s Millennium Monument on Heroes’ Square, commemorating a historic Magyar chieftain.
  • C. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • D. OON
    OON is the post-nominal title for a national honor awarded as an Officer of the Order of the Niger in Nigeria.
  • E. ONA
    ONA is the IATA airport code for Winona Municipal Airport – Max Conrad Field, a public airport serving Winona, Minnesota.
  • 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: On
Triple: [Andy On, familyName, On]
Generated description
On is a Chinese-American actor and martial artist known for his roles in Hong Kong action films such as "Black Mask 2: City of Masks" and "Special ID."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: On
Target entity description: On is a Chinese-American actor and martial artist known for his roles in Hong Kong action films such as "Black Mask 2: City of Masks" and "Special ID."
  • A. ON
    ON is the stock ticker symbol for onsemi, a leading semiconductor manufacturer specializing in power and sensing technologies.
  • B. Ond
    Ond is a statue featured at Budapest’s Millennium Monument on Heroes’ Square, commemorating a historic Magyar chieftain.
  • C. OON
    OON is the abbreviation for the Order of Orange-Nassau, a Dutch royal order of chivalry awarded for special merits to society.
  • D. OON
    OON is the post-nominal title for a national honor awarded as an Officer of the Order of the Niger in Nigeria.
  • E. ONA
    ONA is the IATA airport code for Winona Municipal Airport – Max Conrad Field, a public airport serving Winona, Minnesota.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad46a50819089c87f74efe3c7ca completed April 19, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02430296708190a2e68097b69f2f37 completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a024810afec8190bfe11b35bb1853ac completed May 11, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_6a0248e4d7548190b23a70068868b2f9 completed May 11, 2026, 9:23 p.m.
Created at: April 10, 2026, 10:10 a.m.