Triple
T13005812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew López |
E322284
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Somewhere |
E380632
|
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: Somewhere | Statement: [Matthew López, notableWork, Somewhere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somewhere Context triple: [Matthew López, notableWork, Somewhere]
-
A.
Somewhere
chosen
Somewhere is a 2010 introspective drama film written and directed by Sofia Coppola that follows a disaffected Hollywood actor reconnecting with his young daughter.
-
B.
Somewhere
"Somewhere" is a track by the American rock band Soundgarden from their influential 1991 album *Badmotorfinger*.
-
C.
Somewhere
"Somewhere" is a poignant ballad from the musical West Side Story that expresses a longing for a peaceful place where love can transcend conflict and prejudice.
-
D.
Someday Somewhere
"Someday Somewhere" is a song recorded by Greek singer Demis Roussos, known for its melodic pop style and emotive vocal delivery.
-
E.
Somewhere Somehow
"Somewhere Somehow" is a pop ballad by Scottish band Wet Wet Wet, known for its melodic style and emotive vocals characteristic of their 1990s work.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9b27ec8190815c40a05b9ba7d0 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c109e59481909fc46b152034c6a9 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:48 p.m.