Triple
T6994366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Miano |
E162169
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | In a World... |
E635901
|
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: In a World... | Statement: [Andrew Miano, produced, In a World...]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: In a World... Context triple: [Andrew Miano, produced, In a World...]
-
A.
In a World...
chosen
"In a World..." is a 2013 indie comedy film written, directed by, and starring Lake Bell, centered on a struggling female voice-over artist trying to break into the male-dominated world of movie trailer narration.
-
B.
What a World
"What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
-
C.
Against the World
"Against the World" is a song by the American pop-rock band Hanson.
-
D.
In and of the world
"In and of the world" is the official motto of NYU Shanghai, expressing the university’s global outlook and integration with its international context.
-
E.
The World Over
The World Over is a weekly Catholic news and commentary television program hosted by Raymond Arroyo that covers current events, culture, and issues affecting the Church and the world.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeaa88c8190a49f8504c1793e1f |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c77551f85881909893d67176ee5556 |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:32 p.m.