Triple
T17145281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick and Norah's Infinite Playlist |
E416074
|
entity |
| Predicate | hasTitleCharacter |
P5716
|
FINISHED |
| Object | Norah |
E1252215
|
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: Norah | Statement: [Nick and Norah's Infinite Playlist, hasTitleCharacter, Norah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norah Context triple: [Nick and Norah's Infinite Playlist, hasTitleCharacter, Norah]
-
A.
Norah
Norah is a fictional character from Jack Higgins' thriller novel "The Savage Day."
-
B.
Norah
chosen
Norah is one of the two teenage protagonists in the romantic comedy story "Nick and Norah's Infinite Playlist," known for her sharp wit, emotional complexity, and love of indie music.
-
C.
Norah Larkin
Norah Larkin is the central female protagonist of the 1953 film noir "The Blue Gardenia," whose life unravels after a drunken night leads her to become entangled in a murder investigation.
-
D.
Norah Price
Norah Price is the resilient mechanical engineer and de facto leader portrayed by Kristen Stewart in the 2020 sci‑fi horror film "Underwater," who struggles to survive after a deep-sea drilling station is devastated.
-
E.
NORA
NORA is a U.S. national research framework developed by NIOSH to guide and prioritize occupational safety and health research across key industry sectors.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2da515481909d19e421382eb755 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483158348190abb96b36caaf455a |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.