Triple
T10364639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brenda Song |
E244220
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dads |
E153630
|
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: Dads | Statement: [Brenda Song, notableWork, Dads]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dads Context triple: [Brenda Song, notableWork, Dads]
-
A.
Dads (TV series)
chosen
Dads is an American sitcom that follows two successful video game developers whose lives are upended when their immature, overbearing fathers move in with them.
-
B.
Dad
Dad is a character from the British animated children's television series "Dot.," serving as the supportive and caring father of the show's young protagonist.
-
C.
DAD
DAD is the IATA airport code for Da Nang International Airport, a major commercial airport serving Da Nang and central Vietnam.
-
D.
Single Dads
Single Dads is a film directed by Jordan Vogt-Roberts that focuses on the challenges and humor of modern single fatherhood.
-
E.
Dadzie
Dadzie is a Ghanaian surname commonly borne by individuals of Ga or Fante heritage.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c2d2748190b871b928d5a094f8 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, noon