Triple
T10482208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top Five |
E247199
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | IAC Films |
E151329
|
NE FINISHED |
How this triple was built (2 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: IAC Films | Statement: [Top Five, productionCompany, IAC Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IAC Films Context triple: [Top Five, productionCompany, IAC Films]
-
A.
IAC Films
chosen
IAC Films is an American film and television production company known for backing a range of acclaimed independent and auteur-driven projects.
-
B.
Intermedia Films
Intermedia Films is an independent film production company known for financing and producing a range of international feature films.
-
C.
Axon Films
Axon Films is a film production company known for producing the movie "Milk."
-
D.
IFC Films
IFC Films is an American film distribution company known for releasing independent, foreign, and art-house movies in theaters and on video-on-demand platforms.
-
E.
Skreba Films
Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095d21c08190a0b2f3e57fabb1d8 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a03336988190bc1e61126fe576be |
completed | April 10, 2026, 7:01 a.m. |
Created at: April 6, 2026, 12:22 p.m.