Triple
T1325445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limelight |
E28315
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Celebrated Productions
Celebrated Productions is a film and media production company known for its work on the movie "Limelight."
|
E152304
|
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: Celebrated Productions | Statement: [Limelight, productionCompany, Celebrated Productions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celebrated Productions Context triple: [Limelight, productionCompany, Celebrated Productions]
-
A.
Pyramid Productions
Pyramid Productions is a television production company best known for producing the game show "The $100,000 Pyramid."
-
B.
Ostar Productions
Ostar Productions is a television production company best known for producing the crime drama series "Rizzoli & Isles."
-
C.
Tig Productions
Tig Productions is a film and television production company best known for producing the hit 1992 movie "The Bodyguard" starring Whitney Houston and Kevin Costner.
-
D.
Indelible Productions
Indelible Productions is a film production company best known for its work on the thriller movie "Panic Room."
-
E.
Bedlam Productions
Bedlam Productions is a British film production company best known for producing the Academy Award–winning historical drama "The King’s Speech."
- 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: Celebrated Productions Triple: [Limelight, productionCompany, Celebrated Productions]
Generated description
Celebrated Productions is a film and media production company known for its work on the movie "Limelight."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Celebrated Productions Target entity description: Celebrated Productions is a film and media production company known for its work on the movie "Limelight."
-
A.
Pyramid Productions
Pyramid Productions is a television production company best known for producing the game show "The $100,000 Pyramid."
-
B.
Ostar Productions
Ostar Productions is a television production company best known for producing the crime drama series "Rizzoli & Isles."
-
C.
Tig Productions
Tig Productions is a film and television production company best known for producing the hit 1992 movie "The Bodyguard" starring Whitney Houston and Kevin Costner.
-
D.
Indelible Productions
Indelible Productions is a film production company best known for its work on the thriller movie "Panic Room."
-
E.
Bedlam Productions
Bedlam Productions is a British film production company best known for producing the Academy Award–winning historical drama "The King’s Speech."
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19fd2648190932a85eacb3e7ec4 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf3038148190bd945f67e1a619ca |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbf94e6e881908d15b2ef99f17668 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc0b212608190bbb2310402d86ed9 |
completed | March 8, 2026, 12:20 a.m. |
Created at: March 1, 2026, 7:55 p.m.