Triple
T1864726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Say Never |
E34893
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tomorrow |
E24994
|
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: Tomorrow | Statement: [Never Say Never, hasPart, Tomorrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomorrow Context triple: [Never Say Never, hasPart, Tomorrow]
-
A.
Tomorrow
chosen
"Tomorrow" is a song by John Legend from his R&B album *Love in the Future*.
-
B.
How Tomorrow Moves
"How Tomorrow Moves" is the corporate slogan used by CSX Transportation to emphasize its role in modern, forward-looking freight rail services.
-
C.
Search for Tomorrow
Search for Tomorrow is a long-running American daytime soap opera that originally aired on CBS and later NBC, focusing on the personal and romantic dramas of residents in a Midwestern town.
-
D.
Today
"Today" is a popular 1960s folk song by The New Christy Minstrels, known for its gentle melody and romantic lyrics.
-
E.
Today
Today is a long-running American morning news and talk show on NBC featuring news coverage, interviews, and lifestyle segments.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb0a0b4b881908b07c07db624701d |
completed | March 7, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1d540c0819099558507bdf2ffa4 |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:34 p.m.