Triple
T23179829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | There Will Be a Light |
E579427
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | "Well, Well, Well" |
E439341
|
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: "Well, Well, Well" | Statement: [There Will Be a Light, hasPart, "Well, Well, Well"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Well, Well, Well" Context triple: [There Will Be a Light, hasPart, "Well, Well, Well"]
-
A.
Well Well Well
chosen
"Well Well Well" is a raw, emotionally charged rock song by John Lennon from his 1970 album "John Lennon/Plastic Ono Band."
-
B.
All Is Well
All Is Well is a popular Chinese television drama series centered on complex family relationships and personal growth, in which Yao Chen plays a leading role.
-
C.
All Is Well
"All Is Well" is a music album by American singer Lisa Simone Kelly that showcases her soulful vocals and jazz-influenced style.
-
D.
Wishing Well
Wishing Well is a popular underground pool feature in Luray Caverns where visitors toss coins while making wishes, with the collected money often donated to charity.
-
E.
Wishing Well
"Wishing Well" is a posthumously released emo-rap song by Juice WRLD that reflects on his struggles with addiction and mental health.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6dad948190a64f80f2c9e8e4cb |
completed | April 29, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30b0157c81909f0dad0a84b0af33 |
completed | May 19, 2026, 9:43 a.m. |
Created at: April 17, 2026, 4:04 p.m.