Triple
T16672940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prayer of the Refugee |
E405148
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Tony Petrossian |
E1078240
|
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: Tony Petrossian | Statement: [Prayer of the Refugee, musicVideoDirector, Tony Petrossian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Petrossian Context triple: [Prayer of the Refugee, musicVideoDirector, Tony Petrossian]
-
A.
Tony Petrossian
chosen
Tony Petrossian is a music video director known for his work on rock and alternative music videos in the 2000s.
-
B.
George Kozmetsky
George Kozmetsky was an American technology entrepreneur, investor, and educator best known as a co-founder of Teledyne and a major figure in fostering innovation and high-tech industry growth.
-
C.
Serge Sabarsky
Serge Sabarsky was an Austrian-born art dealer, curator, and collector renowned for his expertise in German and Austrian Expressionist art.
-
D.
Patrick Chaimovitch
Patrick Chaimovitch is a French politician who serves as the mayor of the Parisian suburb of Colombes.
-
E.
Paul Bogaev
Paul Bogaev is a renowned musical director and orchestrator best known for his work on major Broadway productions and film adaptations of stage musicals.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca276848190b7562d7cb88d21e0 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a3916508190bd5edd91310ddb5a |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.