Triple
T19514133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Painkiller |
E488233
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Neon Black
Neon Black is a film and television production company known for its work on the action-thriller project "Painkiller."
|
E1380648
|
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: Neon Black | Statement: [Painkiller, productionCompany, Neon Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neon Black Context triple: [Painkiller, productionCompany, Neon Black]
-
A.
Neon White
Neon White is a fast-paced first-person action platformer that blends speedrunning, card-based combat, and a stylish anime-inspired narrative about assassins in Heaven.
-
B.
Neon
Neon is a fast-paced Duelist agent in the game Valorant known for her high-mobility, electricity-themed abilities that enable rapid flanking and aggressive plays.
-
C.
Neon
Neon is an ancient town in central Greece, near Mount Parnassus, known for its role in classical Greek history and warfare.
-
D.
Neon
"Neon" is a popular song by John Mayer, featured on his debut studio album "Room for Squares."
-
E.
Neon
Neon is an American independent film distribution company known for releasing critically acclaimed and award-winning arthouse and genre films.
- 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: Neon Black Triple: [Painkiller, productionCompany, Neon Black]
Generated description
Neon Black is a film and television production company known for its work on the action-thriller project "Painkiller."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neon Black Target entity description: Neon Black is a film and television production company known for its work on the action-thriller project "Painkiller."
-
A.
Neon White
Neon White is a fast-paced first-person action platformer that blends speedrunning, card-based combat, and a stylish anime-inspired narrative about assassins in Heaven.
-
B.
Neon
Neon is a fast-paced Duelist agent in the game Valorant known for her high-mobility, electricity-themed abilities that enable rapid flanking and aggressive plays.
-
C.
Neon
Neon is an ancient town in central Greece, near Mount Parnassus, known for its role in classical Greek history and warfare.
-
D.
Neon
"Neon" is a popular song by John Mayer, featured on his debut studio album "Room for Squares."
-
E.
Neon
Neon is an American independent film distribution company known for releasing critically acclaimed and award-winning arthouse and genre films.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359a7070819099d925447c80bf23 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07472513948190a2fdbc569d1673e4 |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a07480899788190b61de30bff1414d6 |
completed | May 15, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07491088a48190914abc69055cf807 |
completed | May 15, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:40 p.m.