Triple
T21873085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time and a Word |
E540056
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Then |
—
|
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: Then | Statement: [Time and a Word, hasPart, Then]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Then Context triple: [Time and a Word, hasPart, Then]
-
A.
Then
"Then" is a romantic country ballad by Brad Paisley that reflects on the deepening love in a long-term relationship.
-
B.
Then
chosen
"Then" is a 1990 single by British alternative rock band The Charlatans, known for its organ-driven Madchester sound and inclusion on their debut album "Some Friendly."
-
C.
If/Then
If/Then is a contemporary Broadway musical that follows a woman’s parallel life paths in New York City, featuring a pop-influenced score and a starring role for Idina Menzel.
-
D.
Unless
"Unless" is a reflective novel by Carol Shields that explores themes of feminism, grief, and the silencing of women's voices through the story of a successful writer whose daughter abruptly abandons her former life.
-
E.
When
"When" is a song featured on Shania Twain's hit album "Come On Over."
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f337ab5c8190937a457d348c732b |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:01 p.m.