Triple
T17186426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hey What |
E417119
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | White Horses |
E66544
|
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 Horses | Statement: [Hey What, hasTrack, White Horses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Horses Context triple: [Hey What, hasTrack, White Horses]
-
A.
White Horses
chosen
White Horses is a small coastal settlement in the parish of St. Thomas in eastern Jamaica.
-
B.
White Horse
"White Horse" is a country-pop ballad by Taylor Swift that explores themes of heartbreak and disillusionment in romantic fairy-tale expectations.
-
C.
The Horses
"The Horses" is a celebrated early poem by Ted Hughes that vividly depicts a post-apocalyptic dawn encounter with silent, monumental horses, exploring themes of nature’s power and human renewal.
-
D.
Blue Horses
"Blue Horses" is a poetry collection by American poet Mary Oliver that reflects on nature, art, and the human experience with her characteristic clarity and spiritual insight.
-
E.
Howling Bells
Howling Bells is an Australian indie rock band known for its dark, atmospheric sound and haunting female vocals.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d962b988190bdbba81ac63c7e6e |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fce16688190976d3760898ca5d8 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.