Triple
T11203180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bend It Like Beckham |
E265091
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Justin Krish |
E865443
|
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: Justin Krish | Statement: [Bend It Like Beckham, editedBy, Justin Krish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Krish Context triple: [Bend It Like Beckham, editedBy, Justin Krish]
-
A.
Justin Krish
chosen
Justin Krish is a film editor known for his work on the romantic drama "Bride and Prejudice."
-
B.
Jared Vennett
Jared Vennett is a slick, opportunistic Wall Street trader in "The Big Short" who profits by betting against the U.S. housing market before its 2008 collapse.
-
C.
Justin Malen
Justin Malen is an American screenwriter known for writing mainstream studio comedies such as "Yes Day" and "Office Christmas Party."
-
D.
Jason Miyares
Jason Miyares is an American attorney and Republican politician who serves as the Attorney General of Virginia.
-
E.
Justin Kirk
Justin Kirk is an American actor best known for his role as Andy Botwin on the television series "Weeds" and for his work in both film and stage productions.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d355c481908fc3d555b596314d |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4972bfbd481908cd0da59389ae17c |
completed | April 19, 2026, 8:49 a.m. |
Created at: April 8, 2026, 9:29 p.m.