Triple

T13334616
Position Surface form Disambiguated ID Type / Status
Subject Charlie Gogolak E317656 entity
Predicate notableWork P4 FINISHED
Object Do No Harm
Do No Harm is a work by Charlie Gogolak, likely a book or written piece exploring themes of ethics and responsibility.
E1035485 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: Do No Harm | Statement: [Charlie Gogolak, notableWork, Do No Harm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Do No Harm
Context triple: [Charlie Gogolak, notableWork, Do No Harm]
  • A. Safe from Harm
    "Safe from Harm" is a 1990 trip-hop track by Massive Attack, known for its dark, atmospheric production and soulful vocals that helped define the group's early sound.
  • B. No Bystanders
    "No Bystanders" is a high-energy hip-hop track by Travis Scott from his album *Astroworld*, known for its mosh-pit-ready chorus and aggressive production.
  • C. No Remorse
    "No Remorse" is a song featured on the album "Adrenaline Rush."
  • D. Harm of Will
    "Harm of Will" is an experimental, atmospheric song by Björk from her 2001 album Vespertine, noted for its intricate production and intimate, ethereal vocals.
  • E. No Good Deed
    No Good Deed is a 2014 American thriller film starring Idris Elba and Taraji P. Henson, centered on a woman terrorized by an escaped convict who invades her home.
  • 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: Do No Harm
Triple: [Charlie Gogolak, notableWork, Do No Harm]
Generated description
Do No Harm is a work by Charlie Gogolak, likely a book or written piece exploring themes of ethics and responsibility.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Do No Harm
Target entity description: Do No Harm is a work by Charlie Gogolak, likely a book or written piece exploring themes of ethics and responsibility.
  • A. Safe from Harm
    "Safe from Harm" is a 1990 trip-hop track by Massive Attack, known for its dark, atmospheric production and soulful vocals that helped define the group's early sound.
  • B. No Bystanders
    "No Bystanders" is a high-energy hip-hop track by Travis Scott from his album *Astroworld*, known for its mosh-pit-ready chorus and aggressive production.
  • C. No Remorse
    "No Remorse" is a song featured on the album "Adrenaline Rush."
  • D. Harm of Will
    "Harm of Will" is an experimental, atmospheric song by Björk from her 2001 album Vespertine, noted for its intricate production and intimate, ethereal vocals.
  • E. No Good Deed
    No Good Deed is a 2014 American thriller film starring Idris Elba and Taraji P. Henson, centered on a woman terrorized by an escaped convict who invades her home.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f39f298819088d79cda3ac2b375 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204ac36c8190a04e921442489e9c completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f7221887208190ac98945a023bc496 completed May 3, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:30 p.m.