Triple
T932235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blood on the Tracks |
E20117
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Desire |
E98613
|
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: Desire | Statement: [Blood on the Tracks, followedBy, Desire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Desire Context triple: [Blood on the Tracks, followedBy, Desire]
-
A.
Desire
chosen
Desire is a 1976 studio album by Bob Dylan, noted for its storytelling lyrics, prominent violin arrangements, and songs like "Hurricane" and "Sara."
-
B.
El Deseo
El Deseo is a Spanish film production company founded by Pedro Almodóvar and his brother Agustín, known for producing many of Almodóvar’s acclaimed movies.
-
C.
Obsessed
Obsessed is a 2009 psychological thriller film starring Idris Elba, Beyoncé, and Ali Larter about a successful executive whose life unravels when a temp employee becomes dangerously fixated on him.
-
D.
LOVE
LOVE is a famous typographic artwork and pop art icon created by American artist Robert Indiana, featuring the letters L-O-V-E arranged in a bold, stacked format.
-
E.
Trieb
Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b34c457c819085cbfa0c798cb4c6 |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee1108188190a26c73864c697061 |
completed | March 4, 2026, 8:32 a.m. |
Created at: March 1, 2026, 7:40 p.m.