Triple
T18021825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloodletting |
E431137
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Chris Tsangarides |
—
|
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: Chris Tsangarides | Statement: [Bloodletting, producer, Chris Tsangarides]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Tsangarides Context triple: [Bloodletting, producer, Chris Tsangarides]
-
A.
Chris Tsangarides
chosen
Chris Tsangarides was a British record producer and engineer renowned for his work with prominent rock and heavy metal artists from the late 1970s onward.
-
B.
Peter Christelis
Peter Christelis is a film editor best known for his work on the drama film "A Mighty Heart."
-
C.
Peter Christelis
Peter Christelis is a film editor known for his work on the science fiction thriller "Code 46."
-
D.
Peter Christelis
Peter Christelis is a film editor known for his work on the British comedy film "A Cock and Bull Story."
-
E.
Lou Tsioropoulos
Lou Tsioropoulos was an American professional basketball player best known for his collegiate career at the University of Kentucky and his time in the NBA with the Boston Celtics.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c299c48190b0cceecf77cb6de9 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.