Triple
T12772614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florence Welch |
E305283
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Hunger |
E337935
|
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: Hunger | Statement: [Florence Welch, notableSong, Hunger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hunger Context triple: [Florence Welch, notableSong, Hunger]
-
A.
Hunger
Hunger is a seminal 1890 novel by Norwegian author Knut Hamsun that follows a starving writer’s psychological descent and is considered an early landmark of modernist literature.
-
B.
Hunger
Hunger is a 2008 historical drama film directed by Steve McQueen that portrays the 1981 Irish hunger strike led by Bobby Sands in Northern Ireland’s Maze Prison.
-
C.
Hunger
"Hunger" is a short story collection by American author Lan Samantha Chang that explores themes of family, immigration, and cultural identity.
-
D.
Hunger
chosen
"Hunger" is a 2018 song by English indie rock band Florence and the Machine that explores themes of longing, vulnerability, and self-destructive desire.
-
E.
Hungry
"Hungry" is a song by Fergie from her album "Double Dutchess," known for its dark, edgy production and themes of desire and empowerment.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df5b68481908a5d40516b09be52 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684fcd4b48190ab610efffcbd1546 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:28 p.m.