Triple
T20435166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex & Religion |
E501231
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Survive” |
—
|
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: “Survive” | Statement: [Sex & Religion, hasPart, “Survive”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Survive” Context triple: [Sex & Religion, hasPart, “Survive”]
-
A.
Survive
chosen
"Survive" is a song by American punk rock band Rise Against from their album *The Sufferer & the Witness*, known for its melodic hardcore sound and themes of resilience.
-
B.
Survive
Survive is an Austin-based electronic band known for its dark, synth-driven soundtracks, including members who contributed to the music for the TV series "Stranger Things."
-
C.
Survive
Survive is a survival drama television series starring Sophie Turner as a young woman struggling to stay alive after a plane crash in a remote, snowy wilderness.
-
D.
Gotta Survive
"Gotta Survive" is a hip-hop track featured on the album "Double Up."
-
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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ee758c8190b267b7ce71de8f8c |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.