Triple
T1238605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Legend |
E26604
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Esti Maxine Stephens |
E26604
|
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: Esti Maxine Stephens | Statement: [John Legend, hasChild, Esti Maxine Stephens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esti Maxine Stephens Context triple: [John Legend, hasChild, Esti Maxine Stephens]
-
A.
Esti Maxine Stephens
chosen
Esti Maxine Stephens is the daughter of model and television personality Chrissy Teigen and musician John Legend.
-
B.
Marianne Stewart
Marianne Stewart was an American actress active in mid-20th-century film, television, and theater.
-
C.
Eboni Mills
Eboni Mills is known for having been married to RZA, the influential producer and de facto leader of the Wu-Tang Clan.
-
D.
Michelle LaVaughn Robinson
Michelle LaVaughn Robinson is the birth name of Michelle Obama, the American lawyer, author, and former First Lady of the United States.
-
E.
Ruby Aldridge
Ruby Aldridge is an American fashion model known for her runway and editorial work with major designers and magazines.
- 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_69ada95d71888190aa49a3011ea2a1bc |
completed | March 8, 2026, 4:52 p.m. |
Created at: March 1, 2026, 7:47 p.m.