Triple
T1197747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christoph Waltz |
E25706
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | In Time |
E103285
|
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: In Time | Statement: [Christoph Waltz, notableWork, In Time]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In Time Context triple: [Christoph Waltz, notableWork, In Time]
-
A.
In Time
chosen
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.
-
B.
About Time
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.
-
C.
Laws of Time
The Laws of Time are the strict temporal regulations in the Doctor Who universe that govern how Time Lords may interact with and alter history.
-
D.
The Time Meddler
The Time Meddler is a 1965 Doctor Who serial that introduced the recurring villain known as the Meddling Monk, one of the earliest renegade Time Lords encountered by the Doctor.
-
E.
How Tomorrow Moves
"How Tomorrow Moves" is the corporate slogan used by CSX Transportation to emphasize its role in modern, forward-looking freight rail services.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9c013c8190822d44d465d60fdb |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7658cae8819081da26480926ff83 |
completed | March 7, 2026, 7:02 p.m. |
Created at: March 1, 2026, 7:46 p.m.