Triple
T18221004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Texas Chain Saw Massacre |
E436304
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kim Henkel |
—
|
NE NERFINISHED |
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: Kim Henkel | Statement: [The Texas Chain Saw Massacre, producer, Kim Henkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Henkel Context triple: [The Texas Chain Saw Massacre, producer, Kim Henkel]
-
A.
Kim Henkel
chosen
Kim Henkel is an American screenwriter and filmmaker best known for co-writing the influential 1974 horror film "The Texas Chain Saw Massacre."
-
B.
Helmut Wick
Helmut Wick was a leading German Luftwaffe fighter ace of World War II, renowned for his high victory count before being killed in action in 1940.
-
C.
Tom Henke
Tom Henke is a former Major League Baseball relief pitcher, best known as a dominant closer for the Toronto Blue Jays and a key contributor to their early 1990s success.
-
D.
Reiner Haseloff
Reiner Haseloff is a German politician from the Christian Democratic Union (CDU) who has served as the long-time head of government of the federal state of Saxony-Anhalt.
-
E.
Carl Werner
Carl Werner is a personal name shared by several notable individuals, including figures in fields such as art, science, and sports.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47b5bfc819085c5935c08361ba9 |
completed | April 19, 2026, 2:19 p.m. |
Created at: April 10, 2026, 10:32 a.m.