Triple
T8465022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris O'Donnell |
E200137
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Vertical Limit |
E737101
|
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: Vertical Limit | Statement: [Chris O'Donnell, appearedIn, Vertical Limit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vertical Limit Context triple: [Chris O'Donnell, appearedIn, Vertical Limit]
-
A.
Vertical Limit
chosen
Vertical Limit is a 2000 action-thriller film about a high-stakes rescue mission on K2, known for its intense mountaineering sequences and starring Chris O'Donnell.
-
B.
Out of Bounds
Out of Bounds is a non-fiction sports book by Steve Delsohn that offers an inside look at the controversies, culture, and behind-the-scenes realities of professional sports.
-
C.
Bounds
Bounds is the maiden surname of Lillian Disney, the wife of Walt Disney and a key figure in the early Disney family history.
-
D.
Lim
Lim is a Korean surname borne by numerous notable individuals across fields such as politics, academia, and the arts.
-
E.
Lim
The Lim is a river in the western Balkans that flows through Montenegro, Serbia, and Bosnia and Herzegovina before joining the Drina.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d05b2881909bddf58df0ee1143 |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4dda5230819087ab2509eb958fc2 |
completed | April 2, 2026, 11:07 a.m. |
Created at: March 30, 2026, 6:11 p.m.