Triple
T4761318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krampus (2015 film) |
E105703
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | John Axelrad |
E179303
|
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: John Axelrad | Statement: [Krampus (2015 film), editedBy, John Axelrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Axelrad Context triple: [Krampus (2015 film), editedBy, John Axelrad]
-
A.
John Axelrad
chosen
John Axelrad is an American film editor known for his work on major feature films, including the adventure drama "The Lost City of Z."
-
B.
Michael Hecht
Michael Hecht is the birth name of Michael Howard, a British Conservative politician who served as Leader of the Opposition and Home Secretary.
-
C.
David Eigenberg
David Eigenberg is an American actor best known for his role as Steve Brady in the Sex and the City franchise and as Christopher Herrmann on the television series Chicago Fire.
-
D.
Aaron Kandell
Aaron Kandell is an American screenwriter best known for co-writing Disney's animated feature film "Moana."
-
E.
William Perlberg
William Perlberg was a prominent American film producer active during Hollywood's studio era, known for overseeing a range of successful comedies and dramas.
- 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_69bd43f14cac819081c7c69803648211 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650eefe08190b99f9f01b121dbfd |
completed | March 20, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a7c72c48190a562d6261e323b4b |
completed | March 21, 2026, 6:28 a.m. |
Created at: March 20, 2026, 1:20 p.m.