Triple
T4372445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior Viviane |
E98927
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Love |
E18049
|
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: Love | Statement: [Junior Viviane, appearsIn, Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Context triple: [Junior Viviane, appearsIn, Love]
-
A.
Love
chosen
Love is a 2003 novel by Toni Morrison that explores the intertwined lives of several women connected by their relationships to a charismatic, deceased hotel owner.
-
B.
Love
"Love" is an essay by Ralph Waldo Emerson that explores the nature, spiritual significance, and transformative power of romantic affection and human connection.
-
C.
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.
-
D.
Love
"Love" is a smooth, neo-soul R&B song by Musiq Soulchild that became one of his signature hits in the early 2000s.
-
E.
LOVE
LOVE is a famous typographic artwork and pop art icon created by American artist Robert Indiana, featuring the letters L-O-V-E arranged in a bold, stacked format.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521f7d9c81909c9209fe59d20ffd |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f5ddcbc08190baac9dbe041a66ad |
completed | March 14, 2026, 11:57 p.m. |
Created at: March 12, 2026, 11:17 p.m.