Triple
T9656801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Heather |
E233474
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | White Heather |
E233474
|
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: White Heather | Statement: [White Heather, hasTitle, White Heather]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Heather Context triple: [White Heather, hasTitle, White Heather]
-
A.
White Heather
chosen
"White Heather" is a novel by 19th-century Scottish author William Black, known for its romantic and picturesque depictions of Scottish life and landscapes.
-
B.
Burning the Heather
"Burning the Heather" is a song by British synth-pop duo Pet Shop Boys, known for its reflective lyrics and acoustic-driven sound.
-
C.
White Horse
"White Horse" is a country-pop ballad by Taylor Swift that explores themes of heartbreak and disillusionment in romantic fairy-tale expectations.
-
D.
White Horses
White Horses is a small coastal settlement in the parish of St. Thomas in eastern Jamaica.
-
E.
Sad Eyed Lady of the Lowlands
"Sad Eyed Lady of the Lowlands" is a long, poetic ballad by Bob Dylan, celebrated for its hypnotic lyrics and closing position on his landmark album Blonde on Blonde.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bdd5c0c8190a6c82a1609454d1b |
completed | April 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a07444c819099d7462c38f6da49 |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:14 p.m.