Triple
T9227115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vivian Ayers |
E221711
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Norman Allen
Norman Allen is a child of the American poet and cultural activist Vivian Ayers.
|
E785040
|
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: Norman Allen | Statement: [Vivian Ayers, hasChild, Norman Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Allen Context triple: [Vivian Ayers, hasChild, Norman Allen]
-
A.
Norman Johnson
Norman Johnson was an American developer and civic leader known for establishing the city of Sunrise in Broward County, Florida.
-
B.
Norman Pike
Norman Pike is a person notable enough to be recognized as a bearer of the surname Pike, though specific widely known achievements or roles are not clearly documented.
-
C.
Norman Matson
Norman Matson was an American writer and screenwriter best known for co-writing the story that inspired the classic 1942 fantasy-comedy film "I Married a Witch."
-
D.
Norman Phillips
Norman Phillips was an American meteorologist and pioneer in numerical weather prediction whose work helped lay the foundations for modern climate and atmospheric modeling.
-
E.
Norman Moon
Norman Moon is an American jurist who has served as a federal judge on the United States District Court for the Western District of Virginia.
- 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: Norman Allen Triple: [Vivian Ayers, hasChild, Norman Allen]
Generated description
Norman Allen is a child of the American poet and cultural activist Vivian Ayers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norman Allen Target entity description: Norman Allen is a child of the American poet and cultural activist Vivian Ayers.
-
A.
Norman Johnson
Norman Johnson was an American developer and civic leader known for establishing the city of Sunrise in Broward County, Florida.
-
B.
Norman Pike
Norman Pike is a person notable enough to be recognized as a bearer of the surname Pike, though specific widely known achievements or roles are not clearly documented.
-
C.
Norman Matson
Norman Matson was an American writer and screenwriter best known for co-writing the story that inspired the classic 1942 fantasy-comedy film "I Married a Witch."
-
D.
Norman Phillips
Norman Phillips was an American meteorologist and pioneer in numerical weather prediction whose work helped lay the foundations for modern climate and atmospheric modeling.
-
E.
Norman Moon
Norman Moon is an American jurist who has served as a federal judge on the United States District Court for the Western District of Virginia.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9ecef48190b8aa0e316d07cec7 |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0665cd43481908287b6d4858d63a1 |
completed | April 4, 2026, 1:16 a.m. |
| NEDg | Description generation | batch_69d06771ba808190a7b10f664425e76e |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d068087ab881908edcfd384a2e3f07 |
completed | April 4, 2026, 1:23 a.m. |
Created at: March 30, 2026, 7:28 p.m.