Triple
T14553612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acceptance |
E341480
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Haunted |
E632695
|
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: Haunted | Statement: [Acceptance, notableSong, Haunted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haunted Context triple: [Acceptance, notableSong, Haunted]
-
A.
Haunted
chosen
"Haunted" is a song by Kelly Clarkson from her album "My December," known for its dark, rock-influenced sound and emotionally intense lyrics.
-
B.
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.
-
C.
Haunted
"Haunted" is a dark, atmospheric song and video from Beyoncé’s self-titled visual album, noted for its moody production and exploration of desire, fame, and surveillance.
-
D.
Haunted
"Haunted" is a song by the American musical duo Boots, known for its dark, atmospheric production and moody, experimental pop sound.
-
E.
Haunted
Haunted is a darkly satirical horror novel by Chuck Palahniuk that follows a group of writers trapped in a secluded retreat as their stories and actions grow increasingly grotesque and disturbing.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2f00cec8190a7b6482d18b9a216 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab9a5ac81908779a3c8701353fa |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.