Triple
T15636669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Wagner |
E375961
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Dead Stars |
E1168363
|
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: Dead Stars | Statement: [Bruce Wagner, wrote, Dead Stars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dead Stars Context triple: [Bruce Wagner, wrote, Dead Stars]
-
A.
Dead Stars
chosen
"Dead Stars" is a darkly satirical novel by Bruce Wagner that skewers Hollywood celebrity culture and the emptiness of fame.
-
B.
Deadstar
Deadstar is a breakout mixtape by rapper Smokepurpp that helped popularize his dark, bass-heavy SoundCloud rap style.
-
C.
Cut from the Stars
"Cut from the Stars" is a song by progressive rock band Yes, featured on their 2023 album "Mirror to the Sky."
-
D.
Release the Stars
Release the Stars is a 2007 studio album by singer-songwriter Rufus Wainwright, noted for its lush orchestration and theatrical pop compositions.
-
E.
Lost Stars
"Lost Stars" is a heartfelt pop ballad best known from the film *Begin Again*, where it is performed by actress and singer Keira Knightley as the character Gretta James.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eba51f08190ac5d9de7fc89405a |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678ebe288190bd43a72e99e7aa22 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:14 a.m.