Triple
T15377979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facing Time |
E367718
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I Suggest |
E1152755
|
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: I Suggest | Statement: [Facing Time, hasTrack, I Suggest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Suggest Context triple: [Facing Time, hasTrack, I Suggest]
-
A.
I Suggest
chosen
"I Suggest" is a song featured on the album "Walk with Me."
-
B.
I’d Say to You
"I’d Say to You" is a song by the American rock band Lifer from their self-titled debut album.
-
C.
Some Might Say
"Some Might Say" is a 1995 Britpop anthem by the English rock band Oasis, known as one of their major hit singles and a defining track of their early career.
-
D.
Of Course
"Of Course" is a short story by Shirley Jackson, included in her collection *The Lottery and Other Stories*, that showcases her characteristic blend of domestic realism and unsettling psychological tension.
-
E.
This Just Speaks to Me
"This Just Speaks to Me" is a collection of inspirational quotes and reflections curated and written by television journalist Hoda Kotb.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e6044488190b0499db109f7f821 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1347c8448190aa1088d66bca2722 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:18 a.m.