Triple
T197772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jodie Foster |
E4034
|
entity |
| Predicate | starredIn |
P1668
|
FINISHED |
| Object | The Brave One |
E27232
|
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: The Brave One | Statement: [Jodie Foster, starredIn, The Brave One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Brave One Context triple: [Jodie Foster, starredIn, The Brave One]
-
A.
The Brave One
chosen
The Brave One is a 2007 psychological thriller film in which Jodie Foster plays a New York radio host who becomes a vigilante after a brutal attack.
-
B.
The Fire
The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
-
C.
The Light We Carry
The Light We Carry is a 2022 nonfiction book by Michelle Obama that offers personal reflections and practical wisdom on resilience, hope, and navigating uncertainty.
-
D.
Living to Tell the Tale
Living to Tell the Tale is Gabriel García Márquez’s memoir, recounting his early life and the experiences that shaped him as a writer.
-
E.
As He Saw It
"As He Saw It" is a memoir by Elliott Roosevelt that offers an insider’s account of his father Franklin D. Roosevelt’s views and experiences during World War II.
- 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_69a254bca59881909a15e1496f1508c7 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25bcb2c7c8190b0e031e93651182a |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3441a5fb08190971136c2ec6e79ee |
completed | Feb. 28, 2026, 7:38 p.m. |
Created at: Feb. 28, 2026, 2:44 a.m.