Triple
T9396998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Florida Project |
E226167
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object |
Cre Film
Cre Film is a film production company known for helping produce the critically acclaimed drama "The Florida Project."
|
E796863
|
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: Cre Film | Statement: [The Florida Project, productionCompany, Cre Film]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cre Film Context triple: [The Florida Project, productionCompany, Cre Film]
-
A.
CINE
CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
-
B.
Billu
Billu is a 2009 Indian Hindi-language comedy-drama film about a poor village barber whose life changes when a Bollywood superstar, played by Shah Rukh Khan, visits his town.
-
C.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
D.
Singam
Singam is a popular Indian Tamil-language action film featuring Suriya as a fearless and principled police officer battling crime and corruption.
-
E.
Yannai
Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
- 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: Cre Film Triple: [The Florida Project, productionCompany, Cre Film]
Generated description
Cre Film is a film production company known for helping produce the critically acclaimed drama "The Florida Project."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cre Film Target entity description: Cre Film is a film production company known for helping produce the critically acclaimed drama "The Florida Project."
-
A.
CINE
CINE is the London Stock Exchange ticker symbol for Cineworld Group, one of the world’s largest cinema chains.
-
B.
Billu
Billu is a 2009 Indian Hindi-language comedy-drama film about a poor village barber whose life changes when a Bollywood superstar, played by Shah Rukh Khan, visits his town.
-
C.
Geria Film
Geria Film is a film production company known for producing the movie "Fedora."
-
D.
Singam
Singam is a popular Indian Tamil-language action film featuring Suriya as a fearless and principled police officer battling crime and corruption.
-
E.
Yannai
Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51528b2481908ca1f1840d2594b4 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1011aef64819085cbb7e04c2d87b2 |
completed | April 4, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69d1054d18ec8190b88dc95f785a370a |
completed | April 4, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d105b7570481909f90b7588e210667 |
completed | April 4, 2026, 12:36 p.m. |
Created at: March 30, 2026, 7:46 p.m.