Triple
T19304618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kingdom |
E482791
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bullet Holes |
—
|
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: Bullet Holes | Statement: [The Kingdom, hasPart, Bullet Holes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bullet Holes Context triple: [The Kingdom, hasPart, Bullet Holes]
-
A.
Bullet Holes
chosen
"Bullet Holes" is a song featured on the compilation album *Loaded: The Greatest Hits 1994–2023* by the rock band Bush.
-
B.
Bullets
Bullets is the commonly used short name for the Brisbane Bullets, a professional basketball team in Australia's National Basketball League.
-
C.
The Bullet
The Bullet is a song by Carrie Underwood from her album "Cry Pretty," noted for its emotional storytelling and country-pop style.
-
D.
In a Hail of Bullets
"In a Hail of Bullets" is a fictional crime novel within the TV series "Castle," written by the show's protagonist Richard Castle and featuring his signature blend of suspenseful, witty detective storytelling.
-
E.
A Bullet Is Waiting
A Bullet Is Waiting is a 1954 American film noir-style drama about two fugitives and a woman on an isolated ranch, directed by John Farrow.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c744908190975c71a28acc96cc |
completed | April 20, 2026, 10:49 a.m. |
Created at: April 10, 2026, 1:31 p.m.