Triple
T14888795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Graham |
E359697
|
entity |
| Predicate | authorOf |
P4244
|
FINISHED |
| Object | Someday, Someday, Maybe |
E1126182
|
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: Someday, Someday, Maybe | Statement: [Lauren Graham, authorOf, Someday, Someday, Maybe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Someday, Someday, Maybe Context triple: [Lauren Graham, authorOf, Someday, Someday, Maybe]
-
A.
Someday, Someday, Maybe
chosen
"Someday, Someday, Maybe" is a humorous and heartfelt novel by actress and author Lauren Graham about a young woman's struggles to make it as an actress in 1990s New York City.
-
B.
Someday Soon
"Someday Soon" is a song featured on the album "Looking Forward" by Crosby, Stills, Nash & Young.
-
C.
Someday Soon
"Someday Soon" is a song featured on the album "Departure" by the South Korean boy band TVXQ.
-
D.
Someday
"Someday" is a hit pop-rock single by American band Sugar Ray, known for its laid-back, melodic style and heavy radio rotation in the late 1990s.
-
E.
Someday
"Someday" is a hit single by Mariah Carey, known as one of her early chart-topping songs that helped establish her career in the early 1990s.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f6cf5c8190b6b28f58fafe5d59 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72aedae081909616f4aca3a44c92 |
completed | May 8, 2026, 11:33 p.m. |
Created at: April 10, 2026, 2:09 a.m.