Triple
T21944084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haider |
E541891
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
VB Pictures
VB Pictures is a film production company known for backing the acclaimed Indian drama thriller "Haider."
|
E1509389
|
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: VB Pictures | Statement: [Haider, producer, VB Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VB Pictures Context triple: [Haider, producer, VB Pictures]
-
A.
VB
VB is the IATA airline designator used by Viva Aerobus, a Mexican low-cost carrier.
-
B.
VB
VB is the provincial code for the Province of Verbano-Cusio-Ossola in the Piedmont region of northern Italy.
-
C.
VB
VB is the station code for La Villa-Basílica, a metro station serving the area near the Basilica of Our Lady of Guadalupe in Mexico City.
-
D.
VB
VB is the vehicle registration code used on license plates for the Vogelsbergkreis district in the German state of Hesse.
-
E.
Visual Basic
Visual Basic is an event-driven programming language and integrated development environment (IDE) from Microsoft, widely used for building Windows applications with a relatively simple, BASIC-derived syntax.
- 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: VB Pictures Triple: [Haider, producer, VB Pictures]
Generated description
VB Pictures is a film production company known for backing the acclaimed Indian drama thriller "Haider."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VB Pictures Target entity description: VB Pictures is a film production company known for backing the acclaimed Indian drama thriller "Haider."
-
A.
VB
VB is the IATA airline designator used by Viva Aerobus, a Mexican low-cost carrier.
-
B.
VB
VB is the station code for La Villa-Basílica, a metro station serving the area near the Basilica of Our Lady of Guadalupe in Mexico City.
-
C.
VB
VB is the provincial code for the Province of Verbano-Cusio-Ossola in the Piedmont region of northern Italy.
-
D.
VB
VB is the vehicle registration code used on license plates for the Vogelsbergkreis district in the German state of Hesse.
-
E.
Visual Basic
Visual Basic is an event-driven programming language and integrated development environment (IDE) from Microsoft, widely used for building Windows applications with a relatively simple, BASIC-derived syntax.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242515ec8190b015bf8c7b13be85 |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a60f1f49c81909f6c17dad3bd0219 |
completed | May 18, 2026, 12:44 a.m. |
| NEDg | Description generation | batch_6a0a6200fb1c81909a4ab05fd368dafc |
completed | May 18, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a626731d8819097b209ae1375ae25 |
completed | May 18, 2026, 12:50 a.m. |
Created at: April 16, 2026, 7:56 p.m.