Triple
T15624070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-Street |
E375635
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | Rian Johnson |
E141144
|
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: Rian Johnson | Statement: [T-Street, coFounder, Rian Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rian Johnson Context triple: [T-Street, coFounder, Rian Johnson]
-
A.
Rian Johnson
chosen
Rian Johnson is an American filmmaker known for his inventive, genre-bending movies such as "Brick," "Looper," and "Knives Out," as well as directing "Star Wars: The Last Jedi."
-
B.
Scott Z. Burns
Scott Z. Burns is an American screenwriter, director, and producer known for socially conscious films such as Contagion, The Informant!, and The Report.
-
C.
Josh Trank
Josh Trank is an American filmmaker best known for directing the found-footage superhero film "Chronicle" and the 2015 reboot of "Fantastic Four."
-
D.
John Karlen
John Karlen was an American character actor best known for his roles in the gothic soap opera "Dark Shadows" and the crime drama series "Cagney & Lacey."
-
E.
J. J. Abrams
J. J. Abrams is an American filmmaker, producer, and screenwriter known for creating and directing major science fiction and action franchises such as Lost, Star Trek, and Star Wars: The Force Awakens.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9cfd94819091459aa17a002eaf |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3f65dc8190ac94db1d4d53d77f |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.