Triple
T7424148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taye Diggs |
E171324
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Walker Nathaniel Diggs |
E171326
|
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: Walker Nathaniel Diggs | Statement: [Taye Diggs, child, Walker Nathaniel Diggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walker Nathaniel Diggs Context triple: [Taye Diggs, child, Walker Nathaniel Diggs]
-
A.
Walker Nathaniel Diggs
chosen
Walker Nathaniel Diggs is the son of American actors and performers Idina Menzel and Taye Diggs.
-
B.
Miles Richie
Miles Richie is an American model and media personality, known as the son of singer Lionel Richie and brother of Sofia Richie.
-
C.
Shameik Moore
Shameik Moore is an American actor, singer, and rapper best known for voicing Miles Morales in the animated film "Spider-Man: Into the Spider-Verse."
-
D.
Django Freeman
Django Freeman is a formerly enslaved African-American turned bounty hunter who seeks to rescue his wife in Quentin Tarantino’s Western film "Django Unchained."
-
E.
Tyler Mitchell
Tyler Mitchell is a film producer best known for his work on the crime thriller "Lucky Number Slevin."
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f302b33481908eae877970f2bbdf |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81f048e0c819080f51784e1099cac |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:12 p.m.