Triple
T12047770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurt, Virginia |
E286828
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Hurt |
E882447
|
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: Hurt | Statement: [Hurt, Virginia, hasName, Hurt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hurt Context triple: [Hurt, Virginia, hasName, Hurt]
-
A.
Hurt
"Hurt" is a haunting, introspective song famously covered by Johnny Cash, whose stark performance and accompanying video poignantly reflect on pain, regret, and mortality.
-
B.
Hurt
chosen
Hurt is an American rock band known for its emotionally intense lyrics and blend of alternative metal, hard rock, and post-grunge influences.
-
C.
Hurt
"Hurt" is a powerful emotional ballad by Christina Aguilera, known for its dramatic vocals and themes of regret and loss.
-
D.
Hurt
Hurt is the surname of American actor William Hurt, an Academy Award–winning performer known for his roles in films such as "Kiss of the Spider Woman" and "Broadcast News."
-
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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d904211b588190bfc7603e5b33dcb7 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dc459308190bc88cb550e1d5b86 |
completed | May 1, 2026, 12:34 p.m. |
Created at: April 8, 2026, 9:47 p.m.