Triple
T3474911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machete Kills |
E73347
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Carl Thiel |
E359205
|
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: Carl Thiel | Statement: [Machete Kills, musicBy, Carl Thiel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Thiel Context triple: [Machete Kills, musicBy, Carl Thiel]
-
A.
Carl Thiel
chosen
Carl Thiel is a film and television composer known for his work on genre projects including the series adaptation of "From Dusk Till Dawn."
-
B.
Robert Dietrich
Robert Dietrich is a pseudonym used by E. Howard Hunt, an American intelligence officer and author known for his role in the Watergate scandal.
-
C.
William Wendt
William Wendt was a prominent American landscape painter celebrated as a leading figure of the California Impressionist movement.
-
D.
Hans-Dieter Mundt
Hans-Dieter Mundt is a high-ranking East German intelligence officer in John le Carré’s Cold War spy novel "The Spy Who Came in from the Cold."
-
E.
Thomas F. Hofmann
Thomas F. Hofmann is a German food chemist and academic leader who serves as president of the Technical University of Munich.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb580d4c819080bcc0bccd1e18e2 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4d1c7188190b0f98fdc51e6684a |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:17 p.m.