Triple
T7330696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WaterFire |
E168990
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
Barnaby Evans
Barnaby Evans is an American artist best known for creating large-scale public art installations that transform urban spaces through fire, water, and light.
|
E656441
|
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: Barnaby Evans | Statement: [WaterFire, creator, Barnaby Evans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnaby Evans Context triple: [WaterFire, creator, Barnaby Evans]
-
A.
Barnaby Fulton
Barnaby Fulton is the bumbling chemist protagonist in the 1952 screwball comedy film "Monkey Business," famously portrayed by Cary Grant.
-
B.
Henry Hall
Henry Hall is the son of American actress and comedian Julia Louis-Dreyfus and musician Brad Hall.
-
C.
Henry Hall
Henry Hall was a mountaineer notable for making the first recorded ascent of Alaska’s Mount Hayes.
-
D.
Neville Kid
Neville Kid is a music video director known for creating the visual accompaniment to the song "Problem."
-
E.
Oliver Stapleton
Oliver Stapleton is a British cinematographer known for his versatile work across acclaimed films in both independent and mainstream cinema.
- 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: Barnaby Evans Triple: [WaterFire, creator, Barnaby Evans]
Generated description
Barnaby Evans is an American artist best known for creating large-scale public art installations that transform urban spaces through fire, water, and light.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barnaby Evans Target entity description: Barnaby Evans is an American artist best known for creating large-scale public art installations that transform urban spaces through fire, water, and light.
-
A.
Barnaby Fulton
Barnaby Fulton is the bumbling chemist protagonist in the 1952 screwball comedy film "Monkey Business," famously portrayed by Cary Grant.
-
B.
Henry Hall
Henry Hall is the son of American actress and comedian Julia Louis-Dreyfus and musician Brad Hall.
-
C.
Henry Hall
Henry Hall was a mountaineer notable for making the first recorded ascent of Alaska’s Mount Hayes.
-
D.
Neville Kid
Neville Kid is a music video director known for creating the visual accompaniment to the song "Problem."
-
E.
Oliver Stapleton
Oliver Stapleton is a British cinematographer known for his versatile work across acclaimed films in both independent and mainstream cinema.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0ab0b1881909f8f086b81fdddb7 |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef16f35881909fffba1df072f0d6 |
completed | March 28, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69c7ef9665748190bddc45f234af7a7b |
completed | March 28, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f02f95508190a7b323f3f94e4a0f |
completed | March 28, 2026, 3:13 p.m. |
Created at: March 27, 2026, 3:03 p.m.