Triple
T12667948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Swayze |
E302604
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Sam Wheat |
E302606
|
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: Sam Wheat | Statement: [Patrick Swayze, playedCharacter, Sam Wheat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Wheat Context triple: [Patrick Swayze, playedCharacter, Sam Wheat]
-
A.
Sam Wheat
chosen
Sam Wheat is the murdered banker-turned-ghost portrayed by Patrick Swayze in the 1990 romantic fantasy film "Ghost," who tries to protect his girlfriend and solve his own death from the afterlife.
-
B.
Steve Rhoades
Steve Rhoades is a mild-mannered, socially conscious banker and neighbor to the Bundy family on the sitcom "Married... with Children."
-
C.
Danny Archer
Danny Archer is a fictional mercenary and diamond smuggler in the film "Blood Diamond," known for his morally conflicted role amid the Sierra Leone Civil War.
-
D.
Neil McCauley
Neil McCauley is the meticulous, professional career thief portrayed by Robert De Niro in Michael Mann’s crime film "Heat."
-
E.
Sam Tyler
Sam Tyler is the time-displaced Manchester detective protagonist of the British television series "Life on Mars."
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96181c40481908f3e2717f5472b85 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688bfc048190970d281e66c34cdc |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:20 p.m.