Triple
T4591250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofia Richie |
E103493
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Richie |
E80554
|
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: Richie | Statement: [Sofia Richie, familyName, Richie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richie Context triple: [Sofia Richie, familyName, Richie]
-
A.
Richie
chosen
Richie is the surname of Lionel Richie, the acclaimed American singer, songwriter, and record producer known for his soulful pop and R&B hits.
-
B.
Ricky
Ricky is a common diminutive or nickname for the given name Richard.
-
C.
Richie Roberts
Richie Roberts is a real-life New Jersey detective and prosecutor best known for his role in bringing down drug lord Frank Lucas, a story dramatized in the film "American Gangster."
-
D.
Richel
Richel is a small, uninhabited sandbar island in the Wadden Sea off the Dutch coast, known as part of the West Frisian Islands archipelago.
-
E.
Richie Tozier
Richie Tozier is a wisecracking, foul-mouthed member of the Losers' Club in Stephen King's horror novel "It," known for using humor to cope with fear and trauma.
- 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5923c0c88190952137d448d474cf |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0cdc7e8819088758c1d6d8e866d |
completed | March 21, 2026, 12:05 a.m. |
Created at: March 20, 2026, 1:11 p.m.