Triple
T18912116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex, Lies, and Videotape |
E462633
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | John Mullany |
—
|
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: John Mullany | Statement: [Sex, Lies, and Videotape, mainCharacter, John Mullany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Mullany Context triple: [Sex, Lies, and Videotape, mainCharacter, John Mullany]
-
A.
John Mullany
chosen
John Mullany is a character portrayed by Peter Gallagher in the 1989 film "Sex, Lies, and Videotape."
-
B.
Robert Tishman
Robert Tishman was an American real estate developer best known as a co-founder and leader of the global real estate firm Tishman Speyer.
-
C.
Roger B. Smith
Roger B. Smith was an American business executive best known as the controversial chairman and CEO of General Motors during the 1980s.
-
D.
Timothy Mellon
Timothy Mellon is an American businessman and heir to the Mellon banking fortune, known for his ownership of transportation enterprises and significant political donations.
-
E.
Bennett S. LeBow
Bennett S. LeBow is an American businessman and philanthropist known for his leadership in the tobacco and technology industries and for his major philanthropic contributions to higher education.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c6238e288190b30311b5d80beafb |
completed | April 20, 2026, 6:22 a.m. |
Created at: April 10, 2026, 11:58 a.m.