Triple
T22126963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up All Night |
E546813
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Taken |
—
|
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: Taken | Statement: [Up All Night, hasPart, Taken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taken Context triple: [Up All Night, hasPart, Taken]
-
A.
Taken
Taken is a 2008 action thriller film in which Liam Neeson plays a former CIA operative who relentlessly hunts down his daughter's kidnappers in Paris.
-
B.
Taken
chosen
Taken is a science fiction television miniseries that explores multiple generations of human encounters with extraterrestrials and government conspiracies.
-
C.
Stolen
"Stolen" is a suspense thriller novel by Tess Gerritsen that follows a woman whose identity and life are suddenly erased, plunging her into a dangerous conspiracy.
-
D.
Stolen
"Stolen" is a song by British-Indian singer Jay Sean that blends R&B and pop influences and helped establish his early mainstream success.
-
E.
Stolen
"Stolen" is a melodic, emotionally charged rock ballad by Dashboard Confessional that became one of the band's most recognizable and enduring songs.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12981ac008190aafb516f2a28fefc |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.