Triple

T14350266
Position Surface form Disambiguated ID Type / Status
Subject More Fish E355833 entity
Predicate includesTrack P3284 FINISHED
Object Good
"Good" is a song featured on the release "More Fish," likely contributing to the project’s overall hip-hop sound and thematic style.
 E1095182 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: Good | Statement: [More Fish, includesTrack, Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Good
Context triple: [More Fish, includesTrack, Good]
  • A. Good
    Good is a surname of English origin borne by various individuals, including historical figures such as Sarah Good of Salem witch trials notoriety.
  • B. Good
    Good is a British television drama film exploring moral dilemmas in 1930s Nazi Germany, adapted from C. P. Taylor’s stage play of the same name.
  • C. Good Good
    "Good Good" is a pop-R&B song performed by British singer Vanessa White, known from the girl group The Saturdays, as part of her solo music work.
  • D. Gutes
    The Gutes were the North Germanic inhabitants of the Baltic island of Gotland, known for their distinct Gutnish language and extensive Viking Age trade networks.
  • E. Really Good
    Really Good is a satirical public sculpture by British artist David Shrigley, featuring an exaggeratedly elongated thumbs-up that humorously critiques optimism and public art.
  • 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: Good
Triple: [More Fish, includesTrack, Good]
Generated description
"Good" is a song featured on the release "More Fish," likely contributing to the project’s overall hip-hop sound and thematic style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Good
Target entity description: "Good" is a song featured on the release "More Fish," likely contributing to the project’s overall hip-hop sound and thematic style.
  • A. Good
    Good is a surname of English origin borne by various individuals, including historical figures such as Sarah Good of Salem witch trials notoriety.
  • B. Good
    Good is a British television drama film exploring moral dilemmas in 1930s Nazi Germany, adapted from C. P. Taylor’s stage play of the same name.
  • C. Good Good
    "Good Good" is a pop-R&B song performed by British singer Vanessa White, known from the girl group The Saturdays, as part of her solo music work.
  • D. Gutes
    The Gutes were the North Germanic inhabitants of the Baltic island of Gotland, known for their distinct Gutnish language and extensive Viking Age trade networks.
  • E. Really Good
    Really Good is a satirical public sculpture by British artist David Shrigley, featuring an exaggeratedly elongated thumbs-up that humorously critiques optimism and public art.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f4e1e588190bdc7aaf7a2819948 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4335e481909d4db39b8d25edc9 completed May 8, 2026, 2:36 a.m.
NEDg Description generation batch_69fd4e795948819097c43e30902f1654 completed May 8, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f04d7ec819095b64d4811440166 completed May 8, 2026, 2:48 a.m.
Created at: April 10, 2026, 1:14 a.m.