Triple
T20388482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psycho II |
E498021
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Psycho |
—
|
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: Psycho | Statement: [Psycho II, follows, Psycho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Psycho Context triple: [Psycho II, follows, Psycho]
-
A.
Psycho
chosen
Psycho is a landmark 1960 psychological horror-thriller film directed by Alfred Hitchcock, renowned for its shocking plot twists, innovative editing, and iconic shower scene.
-
B.
Psycho
"Psycho" is a 2018 hip hop/R&B single by American rapper and singer Post Malone featuring Ty Dolla $ign, known for its melodic hook and chart-topping commercial success.
-
C.
Psycho
"Psycho" is a 2018 hard rock single by the English band Muse, known for its heavy guitar riffs, militaristic rhythm, and dark, aggressive lyrics.
-
D.
Psycho
Psycho is a character voiced by Charles Fleischer, best known as the deranged, cackling henchman in the animated film "Who Framed Roger Rabbit."
-
E.
Psycho
Psycho is a quirky fellow recruit and comic side character in the 1981 military comedy film "Stripes."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.