Triple
T439991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benedict Arnold |
E10092
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Hannah Waterman King
Hannah Waterman King was the mother of American Revolutionary War figure Benedict Arnold and a colonial-era resident of New England.
|
E107328
|
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: Hannah Waterman King | Statement: [Benedict Arnold, parent, Hannah Waterman King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannah Waterman King Context triple: [Benedict Arnold, parent, Hannah Waterman King]
-
A.
Sophie Cookson
Sophie Cookson is an English actress best known for her breakout role as Roxy in the action spy film "Kingsman: The Secret Service."
-
B.
Grace Gummer
Grace Gummer is an American actress known for her work in film, television, and theater, including roles in series like "Mr. Robot" and "The Newsroom."
-
C.
Charlotte Hennessy
Charlotte Hennessy was the mother of silent film star Mary Pickford and played a key role in managing and supporting her early acting career.
-
D.
Naomi King
Naomi King is the daughter of renowned American horror novelist Stephen King.
-
E.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
- 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: Hannah Waterman King Triple: [Benedict Arnold, parent, Hannah Waterman King]
Generated description
Hannah Waterman King was the mother of American Revolutionary War figure Benedict Arnold and a colonial-era resident of New England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hannah Waterman King Target entity description: Hannah Waterman King was the mother of American Revolutionary War figure Benedict Arnold and a colonial-era resident of New England.
-
A.
Sophie Cookson
Sophie Cookson is an English actress best known for her breakout role as Roxy in the action spy film "Kingsman: The Secret Service."
-
B.
Grace Gummer
Grace Gummer is an American actress known for her work in film, television, and theater, including roles in series like "Mr. Robot" and "The Newsroom."
-
C.
Charlotte Hennessy
Charlotte Hennessy was the mother of silent film star Mary Pickford and played a key role in managing and supporting her early acting career.
-
D.
Naomi King
Naomi King is the daughter of renowned American horror novelist Stephen King.
-
E.
Emily Carmichael
Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef2977888190a0590b2c1bd2f5da |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c705090c81909590d7fe2ff37fef |
completed | March 4, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_69a7c896d1c481909493a1bc4e6266e3 |
completed | March 4, 2026, 5:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c918ebbc81908ad58bb8045543e6 |
completed | March 4, 2026, 5:54 a.m. |
Created at: Feb. 28, 2026, 1:11 p.m.