Triple

T19876604
Position Surface form Disambiguated ID Type / Status
Subject Joanna Going E477654 entity
Predicate familyName P18 FINISHED
Object Going
Going is the surname of American actress Joanna Going, known for her work in film and television since the late 1980s.
 E1399842 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: Going | Statement: [Joanna Going, familyName, Going]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Going
Context triple: [Joanna Going, familyName, Going]
  • A. Goes
    Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
  • B. Go!
    Go! is a classic 1962 hard bop jazz album by tenor saxophonist Dexter Gordon, widely regarded as one of his finest and most accessible recordings.
  • C. Go!
    "Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
  • D. Vamos
    "Vamos" is a high-energy, surf-punk-influenced track by the Pixies, known for its Spanish lyrics, noisy guitar work, and prominent place in the band’s early repertoire.
  • E. Gone Going
    "Gone Going" is a socially conscious hip-hop track by the Black Eyed Peas that critiques materialism and the fleeting nature of fame.
  • 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: Going
Triple: [Joanna Going, familyName, Going]
Generated description
Going is the surname of American actress Joanna Going, known for her work in film and television since the late 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Going
Target entity description: Going is the surname of American actress Joanna Going, known for her work in film and television since the late 1980s.
  • A. Goes
    Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
  • B. Go!
    Go! is a classic 1962 hard bop jazz album by tenor saxophonist Dexter Gordon, widely regarded as one of his finest and most accessible recordings.
  • C. Go!
    "Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
  • D. Vamos
    "Vamos" is a high-energy, surf-punk-influenced track by the Pixies, known for its Spanish lyrics, noisy guitar work, and prominent place in the band’s early repertoire.
  • E. Gone Going
    "Gone Going" is a socially conscious hip-hop track by the Black Eyed Peas that critiques materialism and the fleeting nature of fame.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dbdb648190b423865e7994a8fe completed April 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbc82f0881909556c54b8ce3533f completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc854a0c8190b0da81ead6b9cfc1 completed May 16, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07dd45e93c8190b14c23487398a8ec completed May 16, 2026, 2:58 a.m.
Created at: April 10, 2026, 1:52 p.m.