Triple
T18252554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritchie (given name) |
E437130
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Richie |
—
|
NE NERFINISHED |
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: [Ritchie (given name), hasDiminutiveForm, Richie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richie Context triple: [Ritchie (given name), hasDiminutiveForm, Richie]
-
A.
Richie
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.
Richie
chosen
Richie is a common diminutive or nickname for the given name Richmond.
-
C.
Richie
Richie is a volatile mobster character from the television series "The Sopranos," known for his violent temper and tumultuous relationships.
-
D.
Richie
Richie is a pivotal character in Jesmyn Ward's novel "Sing, Unburied, Sing," whose ghostly presence embodies the lingering trauma and racial violence of the American South.
-
E.
Ricky
Ricky is the obsessive ex-mental patient portrayed by Antonio Banderas in Pedro Almodóvar’s dark romantic comedy-drama "Tie Me Up! Tie Me Down!".
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd81ea3481909d96b5399f7a32b3 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.