Triple
T22499440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brent Mydland |
E556228
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | “Tons of 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: “Tons of Steel” | Statement: [Brent Mydland, notableWork, “Tons of Steel”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Tons of Steel” Context triple: [Brent Mydland, notableWork, “Tons of Steel”]
-
A.
Tons of Steel
chosen
Tons of Steel is a song featured on the Grateful Dead’s album "In the Dark."
-
B.
Cast in Steel
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.
-
C.
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.
-
D.
Smoke and Steel
Smoke and Steel is a 1920 poetry collection by American writer Carl Sandburg that explores industrialization, urban life, and the American working class in a free-verse, modernist style.
-
E.
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.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb4ff8c8190af0c60abafefe832 |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.