Triple
T2532585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vanessa Kirby |
E56194
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | About Time |
E36276
|
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: About Time | Statement: [Vanessa Kirby, notableWork, About Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: About Time Context triple: [Vanessa Kirby, notableWork, About Time]
-
A.
About Time
chosen
About Time is a 2013 British romantic comedy-drama film written and directed by Richard Curtis that blends time travel with a heartfelt story about love and family.
-
B.
Kind dieser Zeit
Kind dieser Zeit is an autobiographical novel by Klaus Mann that portrays the disillusionment and political radicalization of German youth during the rise of Nazism.
-
C.
In Time
In Time is a 2011 science-fiction thriller film set in a future where time is used as currency, starring Justin Timberlake and Amanda Seyfried.
-
D.
For the Time Being
For the Time Being is a long Christmas-themed poem by W. H. Auden that blends religious reflection with modern existential concerns.
-
E.
Nick of Time
"Nick of Time" is a classic episode of the original The Twilight Zone series in which a superstitious man becomes obsessed with a fortune-telling machine in a small-town diner.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd279cf108190b03fb6e0265f39d9 |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bb9c37081909128d7a227651c8b |
completed | March 9, 2026, 8:21 p.m. |
Created at: March 6, 2026, 9:47 p.m.