Triple
T21505055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Kawara |
E530575
|
entity |
| Predicate | hasSeries |
P1761
|
FINISHED |
| Object | I Met |
—
|
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: I Met | Statement: [On Kawara, hasSeries, I Met]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Met Context triple: [On Kawara, hasSeries, I Met]
-
A.
I Met
chosen
"I Met" is a conceptual art project by On Kawara consisting of daily lists documenting every person he encountered, emphasizing time, existence, and routine human interaction.
-
B.
Then I Met You
"Then I Met You" is a romantic pop song by Scottish duo The Proclaimers, featured on their 1988 album *Sunshine on Leith*.
-
C.
Then I Met You
"Then I Met You" is a pop song by Australian singer Jessica Mauboy, released as one of the singles showcasing her soulful vocals and contemporary R&B-influenced style.
-
D.
Pleased to Meet Me
"Pleased to Meet Me" is a 1987 studio album by American rock band The Replacements, noted for its blend of punk, alternative rock, and more polished pop influences.
-
E.
I Met Someone
"I Met Someone" is a darkly comic Hollywood-set novel by American writer Bruce Wagner that explores fame, grief, and obsession through the story of a grieving actress.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea7cb5588190a4473bbfe3f49cbb |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.