Triple
T11338134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Shear |
E268523
|
entity |
| Predicate | participatedIn |
P149
|
FINISHED |
| Object | Deadbeat |
E314776
|
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: Deadbeat | Statement: [Matthew Shear, participatedIn, Deadbeat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deadbeat Context triple: [Matthew Shear, participatedIn, Deadbeat]
-
A.
Deadbeat
chosen
Deadbeat is a supernatural comedy television series about a slacker medium who helps ghosts resolve their unfinished business.
-
B.
Dead Beats
Dead Beats is a comic book series written by Eric Palicki, known for its blend of music-themed storytelling and supernatural or horror elements.
-
C.
Deadbeat Holiday
"Deadbeat Holiday" is a song by the American punk rock band Green Day from their 2000 album *Warning*.
-
D.
Drop Dead Beats
Drop Dead Beats is a music production team known for crafting beats and instrumentals, including work on the album "Don't Quit Your Day Job!".
-
E.
Down Bad
"Down Bad" is a song by Taylor Swift from her 2024 album *The Tortured Poets Department*, exploring themes of heartbreak, obsession, and emotional vulnerability.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55645d8bc8190b338c05ee382d5fc |
completed | April 19, 2026, 10:25 p.m. |
Created at: April 8, 2026, 9:33 p.m.