Triple
T14365263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phyllis Love |
E356214
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Love |
E451531
|
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: [Phyllis Love, familyName, Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love Context triple: [Phyllis Love, familyName, Love]
-
A.
Love
"Love" is an essay by Ralph Waldo Emerson that explores the nature, spiritual significance, and transformative power of romantic affection and human connection.
-
B.
Love
"Love" is a 2015 erotic drama film directed by Gaspar Noé that explores a turbulent, sexually charged relationship and its emotional aftermath.
-
C.
Love
"Love" is a minimalist, introspective song by John Lennon from his 1970 solo album "John Lennon/Plastic Ono Band," known for its sparse arrangement and tender meditation on the nature of love.
-
D.
Love
chosen
Love is a common English surname borne by various notable individuals across fields such as science, sports, and the arts.
-
E.
Love
Love is a complex and multifaceted human emotion characterized by deep affection, attachment, and care for others.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550e677c8190837c3b9ccb64f0cd |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:15 a.m.