Triple
T1627869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Be |
E35186
|
entity |
| Predicate | nextWork |
P9710
|
FINISHED |
| Object | Finding Forever |
E13877
|
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: Finding Forever | Statement: [Be, nextWork, Finding Forever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finding Forever Context triple: [Be, nextWork, Finding Forever]
-
A.
Finding Forever
chosen
Finding Forever is a 2007 hip-hop album by rapper Common, known for its soulful production and socially conscious lyrics.
-
B.
Finally Forever
"Finally Forever" is a song featured on the album "Carry On," likely contributing to its overall rock and melodic style.
-
C.
Forever (album)
Forever is a 1997 R&B album by American singer Bobby Brown that marked his return to recording after a long hiatus, featuring a more mature sound and personal themes.
-
D.
Forever
"Forever" is the second studio album by American rapper and producer P. Diddy, showcasing his late-1990s hip hop and R&B sound.
-
E.
Forever
Forever is a romance-focused publishing imprint under the Hachette Book Group, known for releasing contemporary and genre romance titles.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622ca9bc8190b99e90295cb01646 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d3808c819086a4a66e66905e8a |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.