Triple
T807062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles Theodore Stephens |
E17461
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Stephens |
E17461
|
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: [Miles Theodore Stephens, familyName, Stephens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephens Context triple: [Miles Theodore Stephens, familyName, Stephens]
-
A.
Miles Theodore Stephens
chosen
Miles Theodore Stephens is the son of model and television personality Chrissy Teigen and singer-songwriter John Legend.
-
B.
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.
-
C.
Stephen
Stephen is the first name of Grover Cleveland, the 22nd and 24th president of the United States.
-
D.
Stephen
Stephen is a masculine given name of Greek origin meaning "crown" or "garland," widely used in English-speaking countries.
-
E.
Stephen
Stephen is the middle name of Harold Stephen Black, an American electrical engineer known for inventing the negative feedback amplifier.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4aac1142881908f6f78bfdb887930 |
completed | March 1, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d83cf448190a2205cd777386833 |
completed | March 3, 2026, 11:23 p.m. |
Created at: March 1, 2026, 7:38 p.m.