Triple
T10526892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lane Smith |
E248328
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Red Dawn |
E568743
|
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: Red Dawn | Statement: [Lane Smith, notableWork, Red Dawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Dawn Context triple: [Lane Smith, notableWork, Red Dawn]
-
A.
Red Dawn
chosen
Red Dawn is a 1984 American war film depicting a group of small-town teenagers who form a guerrilla resistance after a Soviet-led invasion of the United States.
-
B.
Red Dawn (2012 film)
Red Dawn (2012 film) is an action war remake of the 1984 film, depicting a group of American teenagers fighting a foreign invasion of the United States.
-
C.
Tigerland
Tigerland is a 2000 war drama film directed by Joel Schumacher that helped launch Colin Farrell to wider recognition through his acclaimed leading performance.
-
D.
Tigerland
Tigerland is the popular nickname and cultural moniker for the Richmond Football Club and its passionate supporter base in Australian rules football.
-
E.
12 Strong
12 Strong is a 2018 war drama film depicting a U.S. Special Forces team's covert mission in Afghanistan shortly after the September 11 attacks.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f5ec348190875c8c877e70ba4a |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e31350c8190a7493cdc33cc450a |
completed | April 10, 2026, 2:50 p.m. |
Created at: April 6, 2026, 12:29 p.m.