Triple
T17065393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Fugit |
E414072
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Saved! |
E793563
|
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: Saved! | Statement: [Patrick Fugit, notableWork, Saved!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saved! Context triple: [Patrick Fugit, notableWork, Saved!]
-
A.
Saved!
chosen
Saved! is a 2004 satirical teen comedy-drama film that critiques religious fundamentalism and high school culture through dark humor and coming-of-age themes.
-
B.
“Saved”
“Saved” is a gospel track from Snoop Dogg’s faith-based album *Bible of Love*, blending hip-hop influences with Christian themes.
-
C.
Rescue
Rescue is the armored superhero persona adopted by Pepper Potts in Marvel Comics, featuring a specialized suit focused on defense, support, and rescue operations rather than offensive combat.
-
D.
Rescue
Rescue is a poetry collection by Nobel Prize–winning Polish writer Czesław Miłosz, reflecting on war, morality, and the human condition in the aftermath of World War II.
-
E.
Salvation
Salvation is the fourth and final downloadable content pack for Call of Duty: Black Ops III, featuring additional multiplayer maps and the concluding chapter of the Zombies storyline.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db806de48190a9ce68b40fc77a74 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01234e9a94819094618ba43b7d22b4 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.