Triple
T11551337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love City Jalalabad |
E273899
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Gitco Films
Gitco Films is a film production company known for producing the movie "Love City Jalalabad."
|
E932708
|
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: Gitco Films | Statement: [Love City Jalalabad, productionCompany, Gitco Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gitco Films Context triple: [Love City Jalalabad, productionCompany, Gitco Films]
-
A.
GV Films
GV Films is an Indian film production and distribution company known for backing several notable Tamil and South Indian movies.
-
B.
Element Films
Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
-
C.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
-
D.
Elixir Films
Elixir Films is a film production company known for producing the 2010 drama film "The Way," directed by Emilio Estevez and starring Martin Sheen.
-
E.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
- 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: Gitco Films Triple: [Love City Jalalabad, productionCompany, Gitco Films]
Generated description
Gitco Films is a film production company known for producing the movie "Love City Jalalabad."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gitco Films Target entity description: Gitco Films is a film production company known for producing the movie "Love City Jalalabad."
-
A.
GV Films
GV Films is an Indian film production and distribution company known for backing several notable Tamil and South Indian movies.
-
B.
Element Films
Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
-
C.
Imagine Films
Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
-
D.
Elixir Films
Elixir Films is a film production company known for producing the 2010 drama film "The Way," directed by Emilio Estevez and starring Martin Sheen.
-
E.
Scion Films
Scion Films is a British film production company known for backing acclaimed dramas such as "The Constant Gardener."
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a83f1e88190aabf11a4c8a6c9e5 |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8396ed081909bdf381db3dacd62 |
completed | April 21, 2026, 3 a.m. |
| NEDg | Description generation | batch_69e6ef8fca248190bc2fdd8457258874 |
completed | April 21, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6f9144afc819081ee7f78e32ad39a |
completed | April 21, 2026, 4:12 a.m. |
Created at: April 8, 2026, 9:37 p.m.