Triple
T18994936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mind Body & Soul |
E464784
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Torn and Tattered
Torn and Tattered is likely a song or track featured on the release titled "Mind Body & Soul."
|
E1354165
|
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: Torn and Tattered | Statement: [Mind Body & Soul, hasPart, Torn and Tattered]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torn and Tattered Context triple: [Mind Body & Soul, hasPart, Torn and Tattered]
-
A.
Torn and Frayed
"Torn and Frayed" is a country-tinged rock song by The Rolling Stones, featured on their 1972 album Exile on Main St.
-
B.
Torn Apart
Torn Apart is a 1990s drama film starring Cecilia Peck that follows a forbidden love story set against the backdrop of the Israeli–Palestinian conflict.
-
C.
Ragged & Dirty
"Ragged & Dirty" is a traditional blues song popularized by artists like Sleepy John Estes and later covered by Bob Dylan.
-
D.
Rip and Tear
"Rip and Tear" is a hard rock song by the American glam metal band L.A. Guns, recognized as one of their signature tracks from the late 1980s.
-
E.
Tearing at the Seams
"Tearing at the Seams" is a soul-infused Americana album by Nathaniel Rateliff & The Night Sweats known for its emotive songwriting and vintage-inspired sound.
- 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: Torn and Tattered Triple: [Mind Body & Soul, hasPart, Torn and Tattered]
Generated description
Torn and Tattered is likely a song or track featured on the release titled "Mind Body & Soul."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torn and Tattered Target entity description: Torn and Tattered is likely a song or track featured on the release titled "Mind Body & Soul."
-
A.
Torn and Frayed
"Torn and Frayed" is a country-tinged rock song by The Rolling Stones, featured on their 1972 album Exile on Main St.
-
B.
Torn Apart
Torn Apart is a 1990s drama film starring Cecilia Peck that follows a forbidden love story set against the backdrop of the Israeli–Palestinian conflict.
-
C.
Ragged & Dirty
"Ragged & Dirty" is a traditional blues song popularized by artists like Sleepy John Estes and later covered by Bob Dylan.
-
D.
Rip and Tear
"Rip and Tear" is a hard rock song by the American glam metal band L.A. Guns, recognized as one of their signature tracks from the late 1980s.
-
E.
Tearing at the Seams
"Tearing at the Seams" is a soul-infused Americana album by Nathaniel Rateliff & The Night Sweats known for its emotive songwriting and vintage-inspired sound.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d680dd2881908a72e732c6b25477 |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b45789e881909a0e48dd9a69b865 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b6f608808190a95a95cba31fe871 |
completed | May 14, 2026, 11:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05bad7b3d48190b18cd2b2561cfcc2 |
completed | May 14, 2026, 12:06 p.m. |
Created at: April 10, 2026, 12:01 p.m.