Triple
T14660112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawn Mendes |
E344214
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
In My Blood
"In My Blood" is a 2018 pop-rock single by Canadian singer Shawn Mendes that candidly explores anxiety and emotional vulnerability.
|
E1112331
|
NE FINISHED |
How this triple was built (4 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: In My Blood | Statement: [Shawn Mendes, notableWork, In My Blood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In My Blood Context triple: [Shawn Mendes, notableWork, In My Blood]
-
A.
In My Blood
"In My Blood" is a 2016 electropop single by Australian pop duo The Veronicas, known for its pulsating synth-driven production and emotionally charged lyrics about obsessive love.
-
B.
In My Blood
"In My Blood" is a hard rock song by American band Black Stone Cherry, known for its anthemic sound and emotionally charged lyrics.
-
C.
Blood of My Blood
"Blood of My Blood" is an episode of the fantasy television series Game of Thrones that continues key storylines involving Bran Stark, Samwell Tarly, and Daenerys Targaryen.
-
D.
I’m Blooded
"I’m Blooded" is a track featured on the album "Dedication 2" by Lil Wayne and DJ Drama.
-
E.
Blood in My Eyes
"Blood in My Eyes" is a traditional blues song famously covered by Bob Dylan on his 1993 album *World Gone Wrong*.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: In My Blood Triple: [Shawn Mendes, notableWork, In My Blood]
Generated description
"In My Blood" is a 2018 pop-rock single by Canadian singer Shawn Mendes that candidly explores anxiety and emotional vulnerability.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: In My Blood Target entity description: "In My Blood" is a 2018 pop-rock single by Canadian singer Shawn Mendes that candidly explores anxiety and emotional vulnerability.
-
A.
In My Blood
"In My Blood" is a 2016 electropop single by Australian pop duo The Veronicas, known for its pulsating synth-driven production and emotionally charged lyrics about obsessive love.
-
B.
In My Blood
"In My Blood" is a hard rock song by American band Black Stone Cherry, known for its anthemic sound and emotionally charged lyrics.
-
C.
Blood of My Blood
"Blood of My Blood" is an episode of the fantasy television series Game of Thrones that continues key storylines involving Bran Stark, Samwell Tarly, and Daenerys Targaryen.
-
D.
I’m Blooded
"I’m Blooded" is a track featured on the album "Dedication 2" by Lil Wayne and DJ Drama.
-
E.
Blood in My Eyes
"Blood in My Eyes" is a traditional blues song famously covered by Bob Dylan on his 1993 album *World Gone Wrong*.
- F. None of above. chosen
Provenance (5 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51c84448190a1f5fa9ab8a1e2c4 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e28f848190a3d686bc11336601 |
completed | May 8, 2026, 12:24 p.m. |
| NEDg | Description generation | batch_69fdd65a6c24819088fb18ffcdfe6404 |
completed | May 8, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd6f172288190ba7097518b1a971e |
completed | May 8, 2026, 12:28 p.m. |
Created at: April 10, 2026, 1:27 a.m.