Triple
T9814383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Requa |
E238361
|
entity |
| Predicate | coDirectorOf |
P17194
|
FINISHED |
| Object | Focus |
E537200
|
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: Focus | Statement: [John Requa, coDirectorOf, Focus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Focus Context triple: [John Requa, coDirectorOf, Focus]
-
A.
Focus
"Focus" is a track from the album "Afrodisiac," known for its smooth R&B production and introspective lyrical themes.
-
B.
Focus
chosen
Focus is a 2015 romantic crime comedy-drama film starring Will Smith and Margot Robbie as con artists entangled in high-stakes schemes and a complicated relationship.
-
C.
Focus
Focus is a 1961 jazz album by saxophonist Stan Getz, renowned for its innovative blend of cool jazz improvisation with string orchestra arrangements.
-
D.
Fokus
Fokus is the Norwegian Intelligence Service’s publicly released annual assessment report on global security and threat developments.
-
E.
In Focus
In Focus is a political commentary and news analysis program that airs on the conservative cable channel One America News Network.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f19660819083e3f15780352052 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5b264c88190bf16c8c32c360878 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:30 p.m.