Triple
T14329375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Another Me |
E355300
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Antenna 3 Films
Antenna 3 Films is a Spanish film and television production company associated with the Antena 3 television network, known for producing a variety of feature films and TV content.
|
E1094320
|
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: Antenna 3 Films | Statement: [Another Me, productionCompany, Antenna 3 Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antenna 3 Films Context triple: [Another Me, productionCompany, Antenna 3 Films]
-
A.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
B.
Artina Films
Artina Films is a film production company known for backing notable independent and auteur-driven movies, including Tom Ford’s psychological thriller "Nocturnal Animals."
-
C.
Axon Films
Axon Films is a film production company known for producing the movie "Milk."
-
D.
Nala Films
Nala Films is an independent film production company known for financing and producing critically acclaimed feature films.
-
E.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
- 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: Antenna 3 Films Triple: [Another Me, productionCompany, Antenna 3 Films]
Generated description
Antenna 3 Films is a Spanish film and television production company associated with the Antena 3 television network, known for producing a variety of feature films and TV content.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antenna 3 Films Target entity description: Antenna 3 Films is a Spanish film and television production company associated with the Antena 3 television network, known for producing a variety of feature films and TV content.
-
A.
Athos Films
Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
-
B.
Artina Films
Artina Films is a film production company known for backing notable independent and auteur-driven movies, including Tom Ford’s psychological thriller "Nocturnal Animals."
-
C.
Axon Films
Axon Films is a film production company known for producing the movie "Milk."
-
D.
Nala Films
Nala Films is an independent film production company known for financing and producing critically acclaimed feature films.
-
E.
Cinelou Films
Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46927af48190b91095d852fcacbe |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47fa764c8190b1d691f5847b7a05 |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd492226888190a014b23e506ab19c |
completed | May 8, 2026, 2:23 a.m. |
Created at: April 10, 2026, 1:13 a.m.