Triple
T13729288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurd |
E329748
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Myra Hurd
Myra Hurd is a British psychologist and academic known for her contributions to cognitive and developmental psychology.
|
E1059103
|
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: Myra Hurd | Statement: [Hurd, hasNotableBearer, Myra Hurd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myra Hurd Context triple: [Hurd, hasNotableBearer, Myra Hurd]
-
A.
Abigail Gowdy
Abigail Gowdy is the daughter of former U.S. Congressman and federal prosecutor Trey Gowdy.
-
B.
Melissa Hancock
Melissa Hancock is known as the wife of American filmmaker John Lee Hancock, recognized for his work as a director and screenwriter.
-
C.
Nancy Burns
Nancy Burns is an American political scientist known for her influential research on political participation, gender, and civic engagement in the United States.
-
D.
Linda McDonough
Linda McDonough is a film producer best known for her work on the science fiction movie adaptation of "Ender's Game."
-
E.
Betsy Hassett
Betsy Hassett is a New Zealand international footballer and midfielder who has represented her country at multiple FIFA Women’s World Cups and Olympic Games.
- 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: Myra Hurd Triple: [Hurd, hasNotableBearer, Myra Hurd]
Generated description
Myra Hurd is a British psychologist and academic known for her contributions to cognitive and developmental psychology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Myra Hurd Target entity description: Myra Hurd is a British psychologist and academic known for her contributions to cognitive and developmental psychology.
-
A.
Abigail Gowdy
Abigail Gowdy is the daughter of former U.S. Congressman and federal prosecutor Trey Gowdy.
-
B.
Melissa Hancock
Melissa Hancock is known as the wife of American filmmaker John Lee Hancock, recognized for his work as a director and screenwriter.
-
C.
Nancy Burns
Nancy Burns is an American political scientist known for her influential research on political participation, gender, and civic engagement in the United States.
-
D.
Linda McDonough
Linda McDonough is a film producer best known for her work on the science fiction movie adaptation of "Ender's Game."
-
E.
Betsy Hassett
Betsy Hassett is a New Zealand international footballer and midfielder who has represented her country at multiple FIFA Women’s World Cups and Olympic Games.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a84c02e08190b8ef620575157c14 |
completed | May 3, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69f7a994cd688190a077a4854c5c71c9 |
completed | May 3, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aa32b8c8819088bbc9e478c21c06 |
completed | May 3, 2026, 8:04 p.m. |
Created at: April 9, 2026, 9:55 p.m.