Triple
T20118550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yo La Tengo |
E490532
|
entity |
| Predicate | hasMusicalInfluence |
P1994
|
FINISHED |
| Object | Love |
—
|
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: Love | Statement: [Yo La Tengo, hasMusicalInfluence, Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Context triple: [Yo La Tengo, hasMusicalInfluence, Love]
-
A.
Love
Love is an American professional basketball player known for his elite rebounding, three-point shooting, and key role in the Cleveland Cavaliers’ 2016 NBA championship.
-
B.
Love
Love is a 2009 cover album by R&B group Boyz II Men featuring their renditions of classic love songs.
-
C.
Love
Love is a complex and multifaceted human emotion characterized by deep affection, attachment, and care for others.
-
D.
Love
Love is a dark, psychologically intense novel by Angela Carter that explores obsession, desire, and self-destruction within a claustrophobic love triangle.
-
E.
Love
chosen
"Love" is a song by English alternative rock band The Sundays, known for its jangly guitars and ethereal vocals characteristic of their early-1990s sound.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673c32bc8190a52875961fbcc5e2 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.