Triple
T22913037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten |
E568653
|
entity |
| Predicate | hasStudioAlbum |
P48584
|
FINISHED |
| Object |
Spellbound
"Spellbound" is a studio album by the American rock band Ten, showcasing their melodic hard rock style.
|
E1561172
|
NE FINISHED |
How this triple was built (4 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: Spellbound | Statement: [Ten, hasStudioAlbum, Spellbound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spellbound Context triple: [Ten, hasStudioAlbum, Spellbound]
-
A.
Spellbound
Spellbound is a 1945 psychological thriller directed by Alfred Hitchcock, renowned for its exploration of psychoanalysis and its distinctive dream sequences designed by Salvador Dalí.
-
B.
Spellbound
"Spellbound" is a 1981 post-punk single by Siouxsie and the Banshees, widely regarded as one of their signature songs for its driving rhythm, swirling guitars, and Siouxsie Sioux’s distinctive vocals.
-
C.
Spellbound
"Spellbound" is a hard rock song by AC/DC from their 1981 album *For Those About to Rock We Salute You*.
-
D.
Spellbound
Spellbound is a song by British rock band The Smithereens from their 1988 album "Green Thoughts."
-
E.
Spellbound by Beauty
Spellbound by Beauty is a non-fiction book by Donald Spoto that explores Alfred Hitchcock’s complex relationships with and treatment of the actresses who starred in his films.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Spellbound Triple: [Ten, hasStudioAlbum, Spellbound]
Generated description
"Spellbound" is a studio album by the American rock band Ten, showcasing their melodic hard rock style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Spellbound Target entity description: "Spellbound" is a studio album by the American rock band Ten, showcasing their melodic hard rock style.
-
A.
Spellbound
Spellbound is a 1945 psychological thriller directed by Alfred Hitchcock, renowned for its exploration of psychoanalysis and its distinctive dream sequences designed by Salvador Dalí.
-
B.
Spellbound
"Spellbound" is a 1981 post-punk single by Siouxsie and the Banshees, widely regarded as one of their signature songs for its driving rhythm, swirling guitars, and Siouxsie Sioux’s distinctive vocals.
-
C.
Spellbound
"Spellbound" is a hard rock song by AC/DC from their 1981 album *For Those About to Rock We Salute You*.
-
D.
Spellbound
Spellbound is a song by British rock band The Smithereens from their 1988 album "Green Thoughts."
-
E.
Spellbound by Beauty
Spellbound by Beauty is a non-fiction book by Donald Spoto that explores Alfred Hitchcock’s complex relationships with and treatment of the actresses who starred in his films.
- F. None of above. chosen
Provenance (5 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807668c481908494769bab9c8f1d |
completed | April 29, 2026, 3:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9d19058819086e2e692adcb0ab0 |
completed | May 19, 2026, 1:16 a.m. |
| NEDg | Description generation | batch_6a0bbce92f7481908d93857c9f1f8a30 |
completed | May 19, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbd88836c8190a1b9e6c72ff8000f |
completed | May 19, 2026, 1:31 a.m. |
Created at: April 17, 2026, 3:42 p.m.