Triple
T17881249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big World |
E447088
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Survival |
—
|
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: Survival | Statement: [Big World, hasTrack, Survival]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Survival Context triple: [Big World, hasTrack, Survival]
-
A.
Survival
chosen
Survival is a politically charged 1979 reggae album by Bob Marley & The Wailers that focuses on themes of African unity, resistance, and social justice.
-
B.
Survival
Survival is a 1971 hard rock album by American band Grand Funk Railroad, known for its heavy sound and blues-rock influences.
-
C.
Survival
Survival is a 1989 Doctor Who serial featuring the Seventh Doctor and Ace, notable for being the final story of the classic series’ original run.
-
D.
Surviving
"Surviving" is an episode of the BBC nature documentary series *The Private Life of Plants* that explores the strategies plants use to endure and thrive in challenging environments.
-
E.
Surviving
Surviving is a film featuring actress Reagan Gomez-Preston, known for its dramatic exploration of resilience and personal struggle.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0e56bc819097649377b520de63 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.