Triple
T15046750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Over |
E379247
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | John Stephens |
E1118698
|
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: John Stephens | Statement: [Come Over, writer, John Stephens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Stephens Context triple: [Come Over, writer, John Stephens]
-
A.
John Stephens
chosen
John Stephens, better known by his stage name John Legend, is an American singer, songwriter, and pianist renowned for his soulful R&B music and numerous Grammy-winning hits.
-
B.
John Stephens
John Stephens is an author best known for writing the children's fantasy novel "The Emerald Atlas" and its sequels in the Books of Beginning series.
-
C.
John Stephens
John Stephens is an American local politician who has served as the mayor of Costa Mesa, California.
-
D.
Stephen P. Maran
Stephen P. Maran is an American astronomer and science communicator known for his work with NASA and for authoring popular astronomy books such as "Astronomy for Dummies."
-
E.
Michael L. Riordan
Michael L. Riordan is an American physician and entrepreneur best known as the founding CEO of the biopharmaceutical company Gilead Sciences.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda8e64e48190873104a02a676ff3 |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de73614819098b7a88624407d0e |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.