Triple
T20196505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 39/Smooth |
E493098
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | At the Library |
—
|
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: At the Library | Statement: [39/Smooth, hasPart, At the Library]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: At the Library Context triple: [39/Smooth, hasPart, At the Library]
-
A.
At the Library
chosen
"At the Library" is a song by American punk rock band Green Day from their debut studio album "1,039/Smoothed Out Slappy Hours."
-
B.
A Trip to the Library
"A Trip to the Library" is a charming, character-driven musical theater song from the Broadway show *She Loves Me*, often noted for its gentle humor and romantic storytelling.
-
C.
The Library
The Library is a themed stage area within the Tomorrowland music festival known for its distinctive design and curated electronic music performances.
-
D.
The Library
The Library is a mysterious, multidimensional repository of all knowledge that serves as the central setting and governing force in the television series "The Librarians" and related works.
-
E.
Hours in a Library
"Hours in a Library" is a multi-volume collection of literary essays by Victorian critic Leslie Stephen, offering insightful evaluations of a wide range of English authors and works.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad99d50819090ddb7b546c65321 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.