Triple
T2753638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snyder |
E61047
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Snider
Snider is a surname that serves as a spelling variant of the more common family name Snyder.
|
E295420
|
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: Snider | Statement: [Snyder, hasVariant, Snider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snider Context triple: [Snyder, hasVariant, Snider]
-
A.
Snodgrass
Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
-
B.
Slinker
Slinker is one of the derisive nicknames given to Gollum in J.R.R. Tolkien’s The Lord of the Rings, reflecting his sneaky, creeping nature.
-
C.
Tucker
Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
-
D.
Irvin
Irvin is a surname most prominently associated with former NFL wide receiver and sports commentator Michael Irvin.
-
E.
Kershaw
Kershaw is a surname most famously associated with Clayton Kershaw, the elite Major League Baseball pitcher for the Los Angeles Dodgers.
- 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: Snider Triple: [Snyder, hasVariant, Snider]
Generated description
Snider is a surname that serves as a spelling variant of the more common family name Snyder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Snider Target entity description: Snider is a surname that serves as a spelling variant of the more common family name Snyder.
-
A.
Snodgrass
Snodgrass is a surname of English and Scottish origin borne by various notable individuals in sports, politics, and the arts.
-
B.
Slinker
Slinker is one of the derisive nicknames given to Gollum in J.R.R. Tolkien’s The Lord of the Rings, reflecting his sneaky, creeping nature.
-
C.
Tucker
Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
-
D.
Irvin
Irvin is a surname most prominently associated with former NFL wide receiver and sports commentator Michael Irvin.
-
E.
Kershaw
Kershaw is a surname most famously associated with Clayton Kershaw, the elite Major League Baseball pitcher for the Los Angeles Dodgers.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb6ed9c08190824d1866e198ef80 |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbdb43d481909bf4e61840979c0a |
completed | March 10, 2026, 6:36 a.m. |
| NEDg | Description generation | batch_69afbc758cc48190a96f80a850316ce3 |
completed | March 10, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd7be9088190a19bed27249e95c4 |
completed | March 10, 2026, 6:43 a.m. |
Created at: March 6, 2026, 9:56 p.m.