Triple
T14514074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Topo |
E340471
|
entity |
| Predicate | distributedBy |
P1951
|
FINISHED |
| Object | ABKCO Films |
E548415
|
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: ABKCO Films | Statement: [El Topo, distributedBy, ABKCO Films]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ABKCO Films Context triple: [El Topo, distributedBy, ABKCO Films]
-
A.
ABKCO Films
chosen
ABKCO Films is a film production and distribution company known for producing music-related and culturally significant films and documentaries.
-
B.
Silva Screen Records
Silva Screen Records is a British record label known for releasing film and television soundtracks, including music from the revived Doctor Who series.
-
C.
Brando Records
Brando Records is an independent music label known for working with alternative rock acts such as Blue October.
-
D.
Festival Records
Festival Records was a prominent Australian record label known for signing and releasing music by major artists such as Olivia Newton-John.
-
E.
Don Mischer Productions
Don Mischer Productions is a television and live-event production company known for producing major award shows, specials, and large-scale broadcast events.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6d82988190b6f957012bcc63d4 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6da64db881909a4f88d18031cb0c |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 10, 2026, 1:21 a.m.