Triple
T12685952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Sloane |
E303065
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jonathan Perera |
E998921
|
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: Jonathan Perera | Statement: [Miss Sloane, screenwriter, Jonathan Perera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Perera Context triple: [Miss Sloane, screenwriter, Jonathan Perera]
-
A.
Jonathan Perera
chosen
Jonathan Perera is a screenwriter best known for writing the political thriller film "Miss Sloane."
-
B.
Anthony Joseph Pereira
Anthony Joseph Pereira is the birth name of Joe Perry, the renowned lead guitarist of the rock band Aerosmith.
-
C.
Damien Parer
Damien Parer was an acclaimed Australian war cinematographer best known for his frontline footage during World War II, particularly the Academy Award–winning documentary "Kokoda Front Line!".
-
D.
Christopher Le Brun
Christopher Le Brun is a British painter, sculptor, and printmaker who served as President of the Royal Academy of Arts in London.
-
E.
Jerome Teelucksingh
Jerome Teelucksingh is a Trinidadian academic and activist best known for reviving and promoting International Men's Day as a global observance focused on men's health, positive male role models, and gender relations.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d7cd4c81909521839ef5859799 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7a79908190b83a868090990bbe |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:21 p.m.