Triple
T12564020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snider |
E295420
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
William Snider
William Snider is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Snider.
|
E991297
|
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: William Snider | Statement: [Snider, hasNotableBearer, William Snider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: William Snider Context triple: [Snider, hasNotableBearer, William Snider]
-
A.
Henry Madsen
Henry Madsen is a sadistic serial killer and arsonist who serves as one of the primary antagonists in the British crime drama series "Luther."
-
B.
William Mills
William Mills is a personal name shared by multiple notable individuals across fields such as politics, sports, and academia.
-
C.
Henry Gage
Henry Gage was an American politician and lawyer who served as the 20th governor of California from 1899 to 1903.
-
D.
Patrick Wheeler
Patrick Wheeler is a central character in the 2013 American drama film "Ain't Them Bodies Saints," which explores love, crime, and sacrifice in rural Texas.
-
E.
Samuel Livermore
Samuel Livermore was an American lawyer and politician from New Hampshire who served as a U.S. senator and an early leader in the federal government.
- 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: William Snider Triple: [Snider, hasNotableBearer, William Snider]
Generated description
William Snider is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Snider.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: William Snider Target entity description: William Snider is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Snider.
-
A.
Henry Madsen
Henry Madsen is a sadistic serial killer and arsonist who serves as one of the primary antagonists in the British crime drama series "Luther."
-
B.
William Mills
William Mills is a personal name shared by multiple notable individuals across fields such as politics, sports, and academia.
-
C.
Henry Gage
Henry Gage was an American politician and lawyer who served as the 20th governor of California from 1899 to 1903.
-
D.
Patrick Wheeler
Patrick Wheeler is a central character in the 2013 American drama film "Ain't Them Bodies Saints," which explores love, crime, and sacrifice in rural Texas.
-
E.
Samuel Livermore
Samuel Livermore was an American lawyer and politician from New Hampshire who served as a U.S. senator and an early leader in the federal government.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95494ae1c81908b9ee14b8ef92a65 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6558da7e0819086860bfaf394e2d8 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f65a0f1b2881908a7cb21c9de1a5c2 |
completed | May 2, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65ad4424c8190933759cca5d73c22 |
completed | May 2, 2026, 8:13 p.m. |
Created at: April 8, 2026, 11:49 p.m.