Triple
T21057483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoey Bartlet |
E518756
|
entity |
| Predicate | fictionalRomanticPartner |
P110564
|
FINISHED |
| Object | Charlie Young |
—
|
NE NERFINISHED |
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: Charlie Young | Statement: [Zoey Bartlet, fictionalRomanticPartner, Charlie Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Young Context triple: [Zoey Bartlet, fictionalRomanticPartner, Charlie Young]
-
A.
Charlie Young
chosen
Charlie Young is a fictional character from the television series "The West Wing," known for serving as President Josiah Bartlet’s personal aide.
-
B.
Mason Young
Mason Young is known as the child of Adrian Young, the American drummer best recognized for his work with the rock band No Doubt.
-
C.
Nathan Young
Nathan Young is a musician best known as a member of the American alternative rock band Anberlin, where he serves as the drummer.
-
D.
Nathan Young
Nathan Young is a songwriter best known for co-writing the rock track "Feel Good Drag."
-
E.
Nathan Young
Nathan Young is a musician best known as the primary artist behind the release "Blueprints for the Black Market."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd81434c8190aedfddf937f82322 |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:37 p.m.