Triple
T19552419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brand X |
E489225
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Nuclear Burn
Nuclear Burn is a science fiction webcomic best known for its blend of space opera action, humor, and character-driven storytelling.
|
E1381251
|
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: Nuclear Burn | Statement: [Brand X, notableWork, Nuclear Burn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuclear Burn Context triple: [Brand X, notableWork, Nuclear Burn]
-
A.
The Burn
The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
-
B.
Afterburn
Afterburn is a high-speed inverted roller coaster at the Carowinds amusement park, known for its intense inversions and smooth, forceful ride experience.
-
C.
Burnt
Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
-
D.
Burn On
"Burn On" is a song by Randy Newman from his 1972 album "Sail Away," noted for its commentary on the polluted Cuyahoga River.
-
E.
Burn-Up
Burn-Up is a Japanese anime series known for its action-comedy storyline centered on an all-female police or special operations team.
- 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: Nuclear Burn Triple: [Brand X, notableWork, Nuclear Burn]
Generated description
Nuclear Burn is a science fiction webcomic best known for its blend of space opera action, humor, and character-driven storytelling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nuclear Burn Target entity description: Nuclear Burn is a science fiction webcomic best known for its blend of space opera action, humor, and character-driven storytelling.
-
A.
The Burn
The Burn is the nickname of Broxburn Athletic Football Club, a Scottish association football team based in Broxburn, West Lothian.
-
B.
Afterburn
Afterburn is a high-speed inverted roller coaster at the Carowinds amusement park, known for its intense inversions and smooth, forceful ride experience.
-
C.
Burnt
Burnt is a 2015 drama-comedy film about a talented but troubled chef seeking redemption in the high-pressure world of haute cuisine.
-
D.
Burn On
"Burn On" is a song by Randy Newman from his 1972 album "Sail Away," noted for its commentary on the polluted Cuyahoga River.
-
E.
Burn-Up
Burn-Up is a Japanese anime series known for its action-comedy storyline centered on an all-female police or special operations team.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d315c68819087402802d624a8c9 |
completed | April 20, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e8e25188190901a4883c5ad7f5e |
completed | May 15, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_6a074ef599a88190a1edd95887a0c092 |
completed | May 15, 2026, 4:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074fa5d4ec81908900ebf532408239 |
completed | May 15, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:41 p.m.