Triple
T23538659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Couer d'Couers |
E577676
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Chuck |
—
|
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: Chuck | Statement: [Couer d'Couers, associatedWithCharacter, Chuck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuck Context triple: [Couer d'Couers, associatedWithCharacter, Chuck]
-
A.
Chuck
Chuck is an American action-comedy television series that blends spy drama with workplace humor, centered on an ordinary computer geek who accidentally becomes a government asset.
-
B.
Chuck
chosen
Chuck is a common diminutive form of the given name Charles, often used as a familiar or informal nickname.
-
C.
Charlie
"Charlie" is a song by the Red Hot Chili Peppers from their double album "Stadium Arcadium," blending funk-influenced rock with introspective lyrics.
-
D.
Charlie
Charlie is a central character in the indie film "Happythankyoumoreplease," portrayed as a young New Yorker navigating relationships, personal growth, and the search for meaning.
-
E.
Charlie
Charlie is a charming, wealthy British transplant who becomes part of the core friend group in the sitcom "How I Met Your Father."
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae19473881909aa65f9d36744502 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.