Triple
T20925790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Donna |
E515339
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | The Calf |
—
|
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: The Calf | Statement: [Donna Donna, alsoKnownAs, The Calf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Calf Context triple: [Donna Donna, alsoKnownAs, The Calf]
-
A.
The Calf
chosen
The Calf is a prominent summit in the Yorkshire Dales of northern England, known for its expansive views over the Howgill Fells and surrounding countryside.
-
B.
The Cow
The Cow is a landmark 1969 Iranian drama film directed by Dariush Mehrjui that is widely credited with helping launch the Iranian New Wave.
-
C.
The Cow
"The Cow" is a short, child-friendly poem by Robert Louis Stevenson that affectionately describes a cow and its gentle presence in a pastoral setting.
-
D.
The Cow
"The Cow" is a gritty, lyrically dense hip-hop track by Conway the Machine that showcases his raw storytelling and signature hardcore rap style.
-
E.
The Cow
The Cow is the English title of Surah Al-Baqarah, the Quran’s longest chapter, which covers core themes of faith, law, guidance, and the relationship between God and humanity.
- 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_69e0b4fb431c8190b9d40e6a72f0cc87 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6f65200b08190ac208204a20f5a6a |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 12:49 p.m.