Triple
T12618742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Adedeji Adeleke |
E301322
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fall |
E295772
|
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: Fall | Statement: [David Adedeji Adeleke, notableWork, Fall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fall Context triple: [David Adedeji Adeleke, notableWork, Fall]
-
A.
Fall
Fall is the surname of American rapper and basketball player Sheck Wes, known for his breakout hit "Mo Bamba."
-
B.
Fall
"Fall" is a song by the American R&B duo Chloe x Halle, showcasing their soulful harmonies and introspective songwriting.
-
C.
Fall
Fall is a 2022 survival thriller film about two friends who become stranded atop a 2,000-foot radio tower after a climbing expedition goes wrong.
-
D.
Fall
chosen
"Fall" is a globally popular Afrobeats song by Nigerian artist Davido, known for its catchy melody and significant international chart success.
-
E.
Autumn
"Autumn" is a brief, imagist-style poem by T. E. Hulme that vividly captures the mood and atmosphere of the fall season through precise, concrete imagery.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c75c9c819092265ebc2b39f21d |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6686d770881909850ffaf820171d9 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:13 p.m.