Triple
T13773930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Will |
E330951
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Iron Will |
E330951
|
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: Iron Will | Statement: [Iron Will, title, Iron Will]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iron Will Context triple: [Iron Will, title, Iron Will]
-
A.
Iron Will
chosen
Iron Will is a 1994 Disney adventure film about a young man racing his sled dogs across the wilderness to save his family’s farm.
-
B.
Siła i Honor
Siła i Honor is the official motto of Poland’s elite special forces unit GROM, emphasizing strength and honor as core values.
-
C.
Men of Iron
Men of Iron is a historical adventure novel by Howard Pyle that follows the coming-of-age and knighthood of a young squire in 15th-century England.
-
D.
Blood and Steel
Blood and Steel is the official motto of the U.S. Army’s 3rd Cavalry Regiment, reflecting its tradition of toughness and combat readiness.
-
E.
The Warrior King
The Warrior King is the epithet of Charles XII of Sweden, a militaristic early 18th-century monarch famed for his bold campaigns during the Great Northern War.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de023774b48190b19e43e87b94ba77 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a86afd788190ab637044dd489a24 |
completed | May 3, 2026, 7:56 p.m. |
Created at: April 9, 2026, 10:10 p.m.