Triple
T15225158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Letting Go |
E363857
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Superwolf |
E363863
|
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: Superwolf | Statement: [The Letting Go, follows, Superwolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Superwolf Context triple: [The Letting Go, follows, Superwolf]
-
A.
Superwolf
chosen
Superwolf is a collaborative musical project between singer-songwriter Bonnie "Prince" Billy and guitarist Matt Sweeney, known for its intimate, folk-influenced indie rock.
-
B.
Wölfi
Wölfi is a diminutive, affectionate form of the German given name Wolfgang, often used as a nickname.
-
C.
Dire Wolf
"Dire Wolf" is a folk-influenced, storytelling song by the Grateful Dead, notable for its darkly whimsical lyrics and appearance on their 1970 album Workingman's Dead.
-
D.
Earwolf
Earwolf is a comedy-focused podcast network and production company known for creating and distributing popular shows featuring prominent comedians and entertainers.
-
E.
Bad Wolf
Bad Wolf is a British television production company known for creating high-profile drama series such as the adaptation of Philip Pullman’s "His Dark Materials."
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078a9318819081db3b7bcc28e04f |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd35ae348190beb1b113bfc66ab3 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:12 a.m.