Triple
T5434810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stripper |
E121980
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Louis Nye |
E322612
|
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: Louis Nye | Statement: [The Stripper, stars, Louis Nye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Nye Context triple: [The Stripper, stars, Louis Nye]
-
A.
Louis Nye
chosen
Louis Nye was an American comedian and character actor best known for his witty television appearances and recurring roles during the early years of late-night TV.
-
B.
James W. Nye
James W. Nye was a 19th-century American politician who served as the first governor of the Nevada Territory and later as a U.S. senator from Nevada.
-
C.
Charles F. Roos
Charles F. Roos was an American economist and mathematician known for his pioneering work in econometrics and contributions to the formalization of economic theory.
-
D.
William A. Nitze
William A. Nitze is an American energy and environmental policy expert known for his leadership roles in climate change initiatives and international environmental organizations.
-
E.
William Bundy
William Bundy was an American foreign policy expert and government official who played a key role in shaping U.S. strategy during the Vietnam War era.
- 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91af68308190810c64e76c83fa46 |
completed | March 20, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c5c053c8190a53df1b6b5088aab |
completed | March 22, 2026, 4:13 a.m. |
Created at: March 20, 2026, 2:06 p.m.