Triple
T1238587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esti Maxine Stephens |
E26604
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stephens |
E117939
|
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: Stephens | Statement: [Esti Maxine Stephens, familyName, Stephens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephens Context triple: [Esti Maxine Stephens, familyName, Stephens]
-
A.
Stephens
chosen
Stephens is a common English-language surname borne by numerous notable individuals across fields such as politics, sports, arts, and academia.
-
B.
Miles Theodore Stephens
Miles Theodore Stephens is the son of model and television personality Chrissy Teigen and singer-songwriter John Legend.
-
C.
Stewart
Stewart is a common Scottish-origin surname borne by numerous notable figures across politics, law, the arts, and entertainment.
-
D.
John Roger Stephens
John Roger Stephens, better known as John Legend, is an American singer, songwriter, pianist, and actor renowned for his soulful R&B music and multiple Grammy Awards.
-
E.
Adam Stephen
Adam Stephen was a Continental Army general during the American Revolutionary War who played a significant role in early campaigns before being court-martialed and dismissed from service.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf406b988190a12aa26bbcb88d6a |
completed | March 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f7755fc819089e23eca81583885 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:47 p.m.