Triple
T18962089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everlong |
E463936
|
entity |
| Predicate | followedBySingle |
P134
|
FINISHED |
| Object | My Hero |
—
|
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: My Hero | Statement: [Everlong, followedBySingle, My Hero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Hero Context triple: [Everlong, followedBySingle, My Hero]
-
A.
My Hero
chosen
"My Hero" is a popular rock song by American band Foo Fighters, known for its anthemic sound and themes of everyday heroism.
-
B.
My Hero
My Hero is a British television sitcom about an inept but well-meaning superhero trying to balance saving the world with everyday family life.
-
C.
My Heroes
"My Heroes" is a book by British explorer and author Sir Ranulph Fiennes in which he profiles and reflects on the lives and achievements of the people who have most inspired him.
-
D.
You Are My Hero
"You Are My Hero" is a popular Chinese romantic drama series centered on the relationship between a military officer and a doctor, known for starring actress Ma Sichun.
-
E.
I Am a Hero
I Am a Hero is a Japanese horror manga series that follows a troubled manga artist struggling to survive and retain his sanity during a brutal zombie apocalypse.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d368488190b0c7489335e5dd91 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon