Triple
T10939017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennis Yost |
E258415
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Spooky |
E337270
|
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: Spooky | Statement: [Dennis Yost, notableWork, Spooky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spooky Context triple: [Dennis Yost, notableWork, Spooky]
-
A.
Spooky
chosen
"Spooky" is a popular 1967 pop song, best known in its hit versions by Classics IV and later Atlanta Rhythm Section.
-
B.
Spooky
Spooky is the nickname given to certain AC-130 gunships, heavily armed U.S. Air Force aircraft used for close air support, air interdiction, and force protection missions.
-
C.
Haunted
"Haunted" is a song by the American musical duo Boots, known for its dark, atmospheric production and moody, experimental pop sound.
-
D.
Haunted
"Haunted" is a song by Kelly Clarkson from her album "My December," known for its dark, rock-influenced sound and emotionally intense lyrics.
-
E.
Haunted
"Haunted" is a crime thriller novel in James Patterson and Michael Ledwidge's Michael Bennett series, following the NYPD detective as he confronts danger while trying to protect his family during a rural getaway.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770b12a9881909305db49aa554a1b |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c0e940081908c84ea4cf3b877fc |
completed | April 17, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:23 p.m.