Triple
T9426225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fearless |
E227270
|
entity |
| Predicate | containsTrack |
P3284
|
FINISHED |
| Object | White Horse |
E600458
|
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 Horse | Statement: [Fearless, containsTrack, White Horse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Horse Context triple: [Fearless, containsTrack, White Horse]
-
A.
White Horse
chosen
"White Horse" is a country-pop ballad by Taylor Swift that explores themes of heartbreak and disillusionment in romantic fairy-tale expectations.
-
B.
White Horses
White Horses is a small coastal settlement in the parish of St. Thomas in eastern Jamaica.
-
C.
White Knight
White Knight is a high-altitude, twin-boom jet-powered carrier aircraft developed by Scaled Composites to air-launch experimental spacecraft such as SpaceShipOne.
-
D.
Black Horse
Black Horse is a UK-based finance company best known for providing motor and other consumer finance services as part of the Lloyds Banking Group.
-
E.
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.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d107da6aa88190a015ee4a6eea2a4a |
completed | April 4, 2026, 12:45 p.m. |
Created at: March 30, 2026, 7:49 p.m.