Triple
T12449204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Holdovers |
E297484
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Mirada
Mirada is a film and television production company known for its creative storytelling and visual-driven projects.
|
E984044
|
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: Mirada | Statement: [The Holdovers, productionCompany, Mirada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mirada Context triple: [The Holdovers, productionCompany, Mirada]
-
A.
Mirado
Mirado is a line of wooden pencils produced under the Paper Mate brand, known for their smooth writing and reliability.
-
B.
Mira
Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
-
C.
Mira
Mira is a famous red giant variable star in the constellation Cetus, known for its dramatic changes in brightness over time.
-
D.
Mira
Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
-
E.
Mira
Mira is a common given name shared by various notable individuals, including acclaimed Indian-American film director Mira Nair.
- 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: Mirada Triple: [The Holdovers, productionCompany, Mirada]
Generated description
Mirada is a film and television production company known for its creative storytelling and visual-driven projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mirada Target entity description: Mirada is a film and television production company known for its creative storytelling and visual-driven projects.
-
A.
Mirado
Mirado is a line of wooden pencils produced under the Paper Mate brand, known for their smooth writing and reliability.
-
B.
Mira
Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
-
C.
Mira
Mira is a famous red giant variable star in the constellation Cetus, known for its dramatic changes in brightness over time.
-
D.
Mira
Mira is a 1971 Belgian-Dutch drama film directed by Fons Rademakers, based on Stijn Streuvels’ novel "De Teleurgang van den Waterhoek."
-
E.
Mira
Mira is the courageous female warrior and key protagonist in the historical action film "The Last Legion."
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1501448190b0a95d7cd249ca9d |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f640ef7dd08190bf78d04cffac1a44 |
completed | May 2, 2026, 6:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f641abe114819093d99a327f2220c2 |
completed | May 2, 2026, 6:25 p.m. |
Created at: April 8, 2026, 9:56 p.m.