Triple
T14213622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Manhattan |
E352291
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Gabe Burton |
E1086048
|
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: Gabe Burton | Statement: [Little Manhattan, characterPortrayed, Gabe Burton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabe Burton Context triple: [Little Manhattan, characterPortrayed, Gabe Burton]
-
A.
Gabe Burton
chosen
Gabe Burton is the young protagonist of the romantic comedy film "Little Manhattan," experiencing his first love in New York City.
-
B.
Gabe Nevins
Gabe Nevins is an American actor best known for his lead role in Gus Van Sant’s 2007 independent drama film "Paranoid Park."
-
C.
Gabe Dixon
Gabe Dixon is an American singer-songwriter and pianist best known as the frontman of the Gabe Dixon Band and for his soulful, piano-driven rock and pop music.
-
D.
Gabe Lewis
Gabe Lewis is a character from the U.S. version of "The Office," known as a socially awkward Sabre corporate liaison who dates Erin Hannon.
-
E.
Gabe Meyer
Gabe Meyer is the son of Stephenie Meyer, the bestselling author of the Twilight series.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620f07bc81909212dcd1c91b5f95 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d0cb3f88190813542f95ee360bf |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 10, 2026, 1:06 a.m.