Triple
T16629583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winters family |
E404040
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Moses Winters
Moses Winters is a member of the Winters family, a fictional family featured in various narrative works.
|
E1225150
|
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: Moses Winters | Statement: [Winters family, hasMember, Moses Winters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moses Winters Context triple: [Winters family, hasMember, Moses Winters]
-
A.
Moses Hightower
Moses Hightower is a towering, soft-spoken police recruit known for his immense strength and gentle demeanor in the "Police Academy" film series.
-
B.
Moses Martin
Moses Martin is the son of actress Gwyneth Paltrow and Coldplay frontman Chris Martin.
-
C.
Moses Jones
Moses Jones is a British television crime drama miniseries featuring Shaun Parkes in a leading role.
-
D.
Jeremiah Morrow
Jeremiah Morrow was an early American politician who served as the ninth governor of Ohio and was influential in the state's early development and infrastructure.
-
E.
Eleazer Root
Eleazer Root was an American educator and politician who played a foundational role in organizing Wisconsin’s public school system in the mid-19th century.
- 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: Moses Winters Triple: [Winters family, hasMember, Moses Winters]
Generated description
Moses Winters is a member of the Winters family, a fictional family featured in various narrative works.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moses Winters Target entity description: Moses Winters is a member of the Winters family, a fictional family featured in various narrative works.
-
A.
Moses Hightower
Moses Hightower is a towering, soft-spoken police recruit known for his immense strength and gentle demeanor in the "Police Academy" film series.
-
B.
Moses Martin
Moses Martin is the son of actress Gwyneth Paltrow and Coldplay frontman Chris Martin.
-
C.
Moses Jones
Moses Jones is a British television crime drama miniseries featuring Shaun Parkes in a leading role.
-
D.
Jeremiah Morrow
Jeremiah Morrow was an early American politician who served as the ninth governor of Ohio and was influential in the state's early development and infrastructure.
-
E.
Eleazer Root
Eleazer Root was an American educator and politician who played a foundational role in organizing Wisconsin’s public school system in the mid-19th century.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e4db5081908a6085f1bc2d65b8 |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dbc6cf48190879b25e66c9453db |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a0081baf8188190be95383ffe68fbb8 |
completed | May 10, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a008239a5348190aea3820cf8a7d3f6 |
completed | May 10, 2026, 1:03 p.m. |
Created at: April 10, 2026, 5:17 a.m.