Triple
T14075036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas Carnival |
E338708
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Albert Akst |
E211226
|
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: Albert Akst | Statement: [Texas Carnival, editedBy, Albert Akst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Akst Context triple: [Texas Carnival, editedBy, Albert Akst]
-
A.
Albert Akst
chosen
Albert Akst was an American film editor known for his work on numerous Hollywood productions, particularly musicals, during the mid-20th century.
-
B.
Paul Kohner
Paul Kohner was a prominent Hollywood talent agent and film producer who represented major European and American stars during the mid-20th century.
-
C.
Paul Graetz
Paul Graetz was a French film producer active in the mid-20th century, known for backing a range of notable European films.
-
D.
Arthur Kober
Arthur Kober was an American humorist, playwright, and screenwriter known for his witty short stories and work in Hollywood during the mid-20th century.
-
E.
Arthur Seid
Arthur Seid is a film editor known for his work on the classic 1948 crime drama "Force of Evil."
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5bc49881909012b66fa451f495 |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb66eeb248190b73e992ab6b9af82 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.