Triple
T17095198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snyder family |
E414828
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Parker Snyder
Parker Snyder is an individual member of the Snyder family, known primarily in relation to that family lineage.
|
E1261336
|
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: Parker Snyder | Statement: [Snyder family, hasMember, Parker Snyder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parker Snyder Context triple: [Snyder family, hasMember, Parker Snyder]
-
A.
Caleb Snyder
Caleb Snyder is a member of the Snyder family, known primarily in relation to that family group.
-
B.
Parker Williams
Parker Williams is a fictional character from the television series "In the Heat of the Night," serving as a deputy in the Sparta, Mississippi police department.
-
C.
Parker Corey
Parker Corey is an American music producer and one-third of the experimental hip hop group Injury Reserve, known for his innovative and genre-blending production style.
-
D.
Parker Harris
Parker Harris is a technology entrepreneur best known as a co-founder and longtime chief technology leader of the cloud-based software company Salesforce.
-
E.
Sage Snyder
Sage Snyder is a fictional character from the soap opera "As the World Turns," known as the daughter of Carly Tenney.
- 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: Parker Snyder Triple: [Snyder family, hasMember, Parker Snyder]
Generated description
Parker Snyder is an individual member of the Snyder family, known primarily in relation to that family lineage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parker Snyder Target entity description: Parker Snyder is an individual member of the Snyder family, known primarily in relation to that family lineage.
-
A.
Caleb Snyder
Caleb Snyder is a member of the Snyder family, known primarily in relation to that family group.
-
B.
Parker Williams
Parker Williams is a fictional character from the television series "In the Heat of the Night," serving as a deputy in the Sparta, Mississippi police department.
-
C.
Parker Corey
Parker Corey is an American music producer and one-third of the experimental hip hop group Injury Reserve, known for his innovative and genre-blending production style.
-
D.
Parker Harris
Parker Harris is a technology entrepreneur best known as a co-founder and longtime chief technology leader of the cloud-based software company Salesforce.
-
E.
Sage Snyder
Sage Snyder is a fictional character from the soap opera "As the World Turns," known as the daughter of Carly Tenney.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfc9158819081689d3d594a1908 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180c3be308190ab9972e79287218b |
completed | May 11, 2026, 7:09 a.m. |
| NEDg | Description generation | batch_6a0181924bec8190949f67dcdf2f30c9 |
completed | May 11, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018267dd0081908dff20008972c655 |
completed | May 11, 2026, 7:16 a.m. |
Created at: April 10, 2026, 5:35 a.m.