Triple
T15734969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galaktion Tabidze |
E381443
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I See the Sun |
E381443
|
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: I See the Sun | Statement: [Galaktion Tabidze, notableWork, I See the Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I See the Sun Context triple: [Galaktion Tabidze, notableWork, I See the Sun]
-
A.
I See the Sun
chosen
"I See the Sun" is a notable poetic work by Georgian symbolist poet Galaktion Tabidze, reflecting his lyrical style and emotional depth.
-
B.
See Your Sunshine
"See Your Sunshine" is a song by Paul McCartney from his 2007 studio album "Memory Almost Full."
-
C.
What I See
"What I See" is a photography book by Brooklyn Beckham showcasing his personal images and visual perspective on his life and surroundings.
-
D.
I See Now
"I See Now" is a track featured on the comedy-rap album "Don't Quit Your Day Job!" by Kanye West.
-
E.
I See You
"I See You" is the end-credits love theme song from the film *Avatar*, performed by Leona Lewis and composed by James Horner and Simon Franglen.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd586a88190aa1b1b88368d386f |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8300a4248190ba52573b57f31b36 |
completed | May 9, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:46 a.m.