Triple
T5713992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shampoo |
E125977
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Reddish Productions
Reddish Productions is a film and television production company known for producing the movie "Shampoo."
|
E539794
|
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: Reddish Productions | Statement: [Shampoo, productionCompany, Reddish Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reddish Productions Context triple: [Shampoo, productionCompany, Reddish Productions]
-
A.
Indelible Productions
Indelible Productions is a film production company best known for its work on the thriller movie "Panic Room."
-
B.
Pastel Productions
Pastel Productions is a film and television production company known for producing the acclaimed coming-of-age drama "Moonlight."
-
C.
Persky-Bright Productions
Persky-Bright Productions is a television and film production company known for producing the series "The Last Tycoon."
-
D.
Daystar Productions
Daystar Productions was the independent television production company best known for creating and producing the original 1963 science fiction anthology series "The Outer Limits."
-
E.
Lurker Productions
Lurker Productions is a film distribution company known for handling the release of independent and documentary films such as the Anton Yelchin documentary "Love, Antosha."
- 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: Reddish Productions Triple: [Shampoo, productionCompany, Reddish Productions]
Generated description
Reddish Productions is a film and television production company known for producing the movie "Shampoo."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reddish Productions Target entity description: Reddish Productions is a film and television production company known for producing the movie "Shampoo."
-
A.
Indelible Productions
Indelible Productions is a film production company best known for its work on the thriller movie "Panic Room."
-
B.
Pastel Productions
Pastel Productions is a film and television production company known for producing the acclaimed coming-of-age drama "Moonlight."
-
C.
Persky-Bright Productions
Persky-Bright Productions is a television and film production company known for producing the series "The Last Tycoon."
-
D.
Daystar Productions
Daystar Productions was the independent television production company best known for creating and producing the original 1963 science fiction anthology series "The Outer Limits."
-
E.
Lurker Productions
Lurker Productions is a film distribution company known for handling the release of independent and documentary films such as the Anton Yelchin documentary "Love, Antosha."
- 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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024b6c7c8819095a92f2ccede1197 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a77d6b081908db6e64c5a361282 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05c75179c819085bf56340363b48c |
completed | March 22, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05d2b67888190bc89e4cbd384c15f |
completed | March 22, 2026, 9:20 p.m. |
Created at: March 22, 2026, 3:46 p.m.