Triple
T13125451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Roberts |
E311832
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nerve |
E800716
|
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: Nerve | Statement: [Emma Roberts, notableWork, Nerve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nerve Context triple: [Emma Roberts, notableWork, Nerve]
-
A.
Nerves
Nerves is a seminal 1958 poetry collection by John Wieners that captures his raw, confessional, and avant-garde lyric voice within the Beat and postwar American poetry movements.
-
B.
Nerves
Nerves is an Elixir-based framework for building, deploying, and managing embedded systems and IoT devices.
-
C.
Nerves
"Nerves" is a science fiction novel by Lester del Rey that explores the catastrophic consequences of a nuclear power plant accident.
-
D.
All Nerve
All Nerve is a 2018 alternative rock album by The Breeders, marking their reunion with a raw, introspective sound.
-
E.
Nerve (2016 film)
chosen
Nerve is a 2016 techno-thriller film about an online truth-or-dare game that escalates into dangerous real-world challenges, starring Emma Roberts and Dave Franco.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819946808190b41335fb1054accd |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28bdd6881909d01e550e99267e1 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:07 p.m.