Triple
T18174274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Future |
E435112
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Closing Time |
—
|
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: Closing Time | Statement: [The Future, notableSong, Closing Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Closing Time Context triple: [The Future, notableSong, Closing Time]
-
A.
Closing Time
"Closing Time" is a 2011 Doctor Who television episode featuring the Eleventh Doctor reuniting with Craig Owens to battle a Cybermen threat in a department store.
-
B.
Closing Time
chosen
"Closing Time" is a 1973 album by Tom Waits that introduced his distinctive blend of jazz-inflected piano ballads and late-night, melancholic storytelling.
-
C.
Closing In
"Closing In" is a song by British musician Imogen Heap from her 2005 electronic pop album *Speak for Yourself*.
-
D.
Stop-Time
Stop-Time is a critically acclaimed memoir by Frank Conroy that vividly recounts his turbulent childhood and coming-of-age with novelistic intensity.
-
E.
The Close
The Close is the historic cathedral precinct in Salisbury, England, encompassing Salisbury Cathedral and its surrounding lawns, residences, and ecclesiastical buildings.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5900788190994525954a89fa3c |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 10:30 a.m.