Triple
T12005594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Undercover |
E285770
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Too Much Blood |
E836839
|
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: Too Much Blood | Statement: [Undercover, hasSingle, Too Much Blood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Too Much Blood Context triple: [Undercover, hasSingle, Too Much Blood]
-
A.
Too Much Blood
chosen
"Too Much Blood" is a song by the Rolling Stones, known for its experimental blend of rock with spoken-word storytelling and horror-themed lyrics.
-
B.
I’m Blooded
"I’m Blooded" is a track featured on the album "Dedication 2" by Lil Wayne and DJ Drama.
-
C.
Blood on the Floor
Blood on the Floor is a large-scale jazz-influenced orchestral work by British composer Mark-Anthony Turnage that blends classical, jazz, and rock elements in a dark, emotionally charged sound world.
-
D.
Bloods
Bloods is a predominantly African-American street gang that originated in Los Angeles and is known for its rivalry with the Crips and its nationwide network of affiliated sets.
-
E.
Bloods
Bloods is a popular nickname for the Sydney Swans, an Australian Football League club known for its red-and-white colors and strong team culture.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d259f7c81908366e7d9e61a6c73 |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.