Triple
T20956665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ripper |
E516118
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | Ripper |
—
|
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: Ripper | Statement: [Ripper, originalTitle, Ripper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ripper Context triple: [Ripper, originalTitle, Ripper]
-
A.
Ripper
chosen
Ripper is a crime thriller novel by Isabel Allende that blends murder mystery with psychological drama, following a group of online role‑players who become entangled in a series of real-life killings.
-
B.
Ripper
Ripper is a comic book title published by Aircel Comics, known for its dark, horror-themed storytelling.
-
C.
Ripper
Ripper is the rebellious, darker alter ego of Rupert Giles from the television series "Buffy the Vampire Slayer," reflecting his troubled youth and past dabbling in dark magic.
-
D.
The Ripper
The Ripper is a creative work by Australian costume designer Lizzy Gardiner, best known for her Oscar-winning designs on the film "The Adventures of Priscilla, Queen of the Desert."
-
E.
Ripper Roo
Ripper Roo is a deranged, hyperactive kangaroo villain from the Crash Bandicoot video game series, known for his manic laughter and explosive attacks.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6c2f1481908360fb86d2b6a8e4 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:28 p.m.