Triple
T22130441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exodus |
E546890
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Bonded by Blood |
—
|
NE NERFINISHED |
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: Bonded by Blood | Statement: [Exodus, notableSong, Bonded by Blood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonded by Blood Context triple: [Exodus, notableSong, Bonded by Blood]
-
A.
Bonded by Blood
chosen
Bonded by Blood is a landmark 1985 thrash metal album by American band Exodus, widely regarded as one of the genre’s most influential early releases.
-
B.
The Blood Bond
The Blood Bond is an action film featuring Jennifer Blanc in a prominent role.
-
C.
Blood Ties
Blood Ties is a 2013 crime drama film directed by Guillaume Canet that follows two brothers on opposite sides of the law in 1970s New York.
-
D.
Blood Ties
Blood Ties is a novel by British writer and painter Jennifer Lash, known for its exploration of complex family relationships and emotional entanglements.
-
E.
Blood Ties
Blood Ties is a Portuguese crime drama television series centered on complex family relationships, betrayal, and the criminal underworld.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12985e3688190917884c6bd487810 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.