Triple
T20410493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foot of the Mountain |
E500574
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Cast in Steel |
—
|
NE NERFINISHED |
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: Cast in Steel | Statement: [Foot of the Mountain, followedBy, Cast in Steel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cast in Steel Context triple: [Foot of the Mountain, followedBy, Cast in Steel]
-
A.
Cast in Steel
chosen
Cast in Steel is a 2015 studio album by Norwegian synth-pop band A-ha that marked their return after a brief split, blending nostalgic sounds with contemporary production.
-
B.
Made of Steel
Made of Steel is a Doctor Who tie-in novel featuring the Tenth Doctor, written for younger readers as part of the Quick Reads initiative.
-
C.
Street of Steel
Street of Steel is a prominent thoroughfare in King’s Landing in the world of *A Song of Ice and Fire*, known for its many smithies and metalworkers.
-
D.
Tons of Steel
Tons of Steel is a song featured on the Grateful Dead’s album "In the Dark."
-
E.
Bleeding Steel
Bleeding Steel is a 2017 Chinese science fiction action film starring Jackie Chan that blends futuristic technology, crime, and high-octane stunts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3ecb348190ae777f6276037828 |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.