Triple
T19776592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry |
E475016
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Larrie
Larrie is a given name, typically used as a variant of Larry or Lawrence.
|
E1394158
|
NE FINISHED |
How this triple was built (4 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: Larrie | Statement: [Larry, hasVariantForm, Larrie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larrie Context triple: [Larry, hasVariantForm, Larrie]
-
A.
Darryl
Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
-
B.
Darell
Darell is a surname most notably associated with characters in Isaac Asimov’s Foundation series, including the psychohistorian Bayta Darell.
-
C.
Darell
Darell is a Puerto Rican reggaeton and Latin trap singer and rapper known for his collaborations on major urban Latin hits.
-
D.
Reggie Leach
Reggie Leach is a Canadian former NHL right winger best known as a prolific goal scorer for the Philadelphia Flyers during the 1970s, including a Conn Smythe Trophy–winning playoff run in 1976.
-
E.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Larrie Triple: [Larry, hasVariantForm, Larrie]
Generated description
Larrie is a given name, typically used as a variant of Larry or Lawrence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Larrie Target entity description: Larrie is a given name, typically used as a variant of Larry or Lawrence.
-
A.
Darryl
Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
-
B.
Darell
Darell is a surname most notably associated with characters in Isaac Asimov’s Foundation series, including the psychohistorian Bayta Darell.
-
C.
Darell
Darell is a Puerto Rican reggaeton and Latin trap singer and rapper known for his collaborations on major urban Latin hits.
-
D.
Reggie Leach
Reggie Leach is a Canadian former NHL right winger best known as a prolific goal scorer for the Philadelphia Flyers during the 1970s, including a Conn Smythe Trophy–winning playoff run in 1976.
-
E.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
- F. None of above. chosen
Provenance (5 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65360cca08190957c36b1a440542c |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd78ce00819097b4df2bff211b31 |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07be65daf88190a0ed2b6f8075141a |
completed | May 16, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bf1be9648190bac752e8a6ca12bc |
completed | May 16, 2026, 12:49 a.m. |
Created at: April 10, 2026, 1:48 p.m.