Triple
T7049479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Steal a Million |
E163727
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Robert Swink |
E255026
|
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: Robert Swink | Statement: [How to Steal a Million, editedBy, Robert Swink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Swink Context triple: [How to Steal a Million, editedBy, Robert Swink]
-
A.
Robert Swink
chosen
Robert Swink was an American film editor known for his work on numerous classic Hollywood films, including "Roman Holiday."
-
B.
Peter Schink
Peter Schink is a screenwriter best known for co-writing the apocalyptic action-horror film "Legion" (2010).
-
C.
Donald Oenslager
Donald Oenslager was an influential American theatrical set designer and educator known for helping shape modern stage design on Broadway in the mid-20th century.
-
D.
Roy Leenig
Roy Leenig was a prominent American college basketball coach best known for his successful tenure leading the Holy Cross Crusaders men's basketball program.
-
E.
James D. van Hoften
James D. van Hoften is a former NASA astronaut and aerospace engineer who flew on multiple Space Shuttle missions, notably performing spacewalks to repair satellites.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e24d5e8c8190b37e56107e6da8ab |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7888bba9c8190b6414b56e5588ec0 |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:37 p.m.