Triple
T14594374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rip Torn |
E342520
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Rip |
E342520
|
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: Rip | Statement: [Rip Torn, nickname, Rip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rip Context triple: [Rip Torn, nickname, Rip]
-
A.
Rip
chosen
Rip is the professional nickname of American actor Rip Torn, known for his distinctive character roles in film and television.
-
B.
Rip
Rip is a wealthy, hedonistic drug dealer and emblem of moral decay in Bret Easton Ellis’s novel "Less Than Zero."
-
C.
The Rip
The Rip is a notoriously narrow and treacherous entrance channel between Port Phillip Bay and Bass Strait in Victoria, Australia, known for its strong tidal currents and hazardous navigation conditions.
-
D.
Ripper
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.
-
E.
R.I.P.
"R.I.P." is a hard-hitting, mosh-pit-ready track by Playboi Carti known for its aggressive energy, minimalist production, and iconic "what?" ad-libs that helped define his Die Lit 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43480d8819084a707e56da2c237 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda918542c819099646943be59dd04 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:24 a.m.