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.