Triple
T10040326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History Books |
E205277
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Get Hurt |
E205275
|
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: Get Hurt | Statement: [History Books, follows, Get Hurt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Hurt Context triple: [History Books, follows, Get Hurt]
-
A.
Get Hurt
chosen
Get Hurt is a 2014 studio album by American rock band The Gaslight Anthem that explores a darker, more experimental sound than their earlier work.
-
B.
Don’t Hurt Yourself
"Don’t Hurt Yourself" is a fierce, rock-infused R&B track by Beyoncé featuring Jack White, known for its raw vocal delivery and themes of rage and betrayal.
-
C.
It Won't Hurt
"It Won't Hurt" is a country song by Dwight Yoakam, known as the B-side to his hit single "Guitars, Cadillacs."
-
D.
It Hurts Me Too
"It Hurts Me Too" is a blues standard, most famously recorded by Elmore James, that has become a widely covered and influential song in the genre.
-
E.
Hurt You
"Hurt You" is a song from the collaborative R&B album *Love, Marriage & Divorce* by Toni Braxton and Babyface.
- 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee2e6d881908cfa0579f9be32e4 |
completed | April 2, 2026, 2:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b60e988c8190839a088e65b15d07 |
completed | April 5, 2026, 7:20 p.m. |
Created at: March 30, 2026, 8:55 p.m.