Triple
T13512160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wendy Darling |
E322665
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object |
Margaret Henley
Margaret Henley was the young daughter of W. E. Henley whose nickname “Wendy” inspired J. M. Barrie’s famous character Wendy Darling in *Peter Pan*.
|
E1216509
|
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: Margaret Henley | Statement: [Wendy Darling, inspiredBy, Margaret Henley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Henley Context triple: [Wendy Darling, inspiredBy, Margaret Henley]
-
A.
Margaret Greer
Margaret Greer is a notable individual who shares the surname Greer and is recognized as a distinguished bearer of that name.
-
B.
Margaret Heidenry
Margaret Heidenry is a screenwriter best known for her work on the animated Disney sequel "Cinderella III: A Twist in Time."
-
C.
Margaret Welsh
Margaret Welsh is an American actress known for her work in film, television, and theater.
-
D.
Margaret Maxwell
Margaret Maxwell was a Scottish noblewoman best known as the wife of Archibald Douglas, 6th Earl of Angus, a powerful magnate in late 15th- and early 16th-century Scotland.
-
E.
Margaret Haley
Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
- 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: Margaret Henley Triple: [Wendy Darling, inspiredBy, Margaret Henley]
Generated description
Margaret Henley was the young daughter of W. E. Henley whose nickname “Wendy” inspired J. M. Barrie’s famous character Wendy Darling in *Peter Pan*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margaret Henley Target entity description: Margaret Henley was the young daughter of W. E. Henley whose nickname “Wendy” inspired J. M. Barrie’s famous character Wendy Darling in *Peter Pan*.
-
A.
Margaret Greer
Margaret Greer is a notable individual who shares the surname Greer and is recognized as a distinguished bearer of that name.
-
B.
Margaret Heidenry
Margaret Heidenry is a screenwriter best known for her work on the animated Disney sequel "Cinderella III: A Twist in Time."
-
C.
Margaret Welsh
Margaret Welsh is an American actress known for her work in film, television, and theater.
-
D.
Margaret Maxwell
Margaret Maxwell was a Scottish noblewoman best known as the wife of Archibald Douglas, 6th Earl of Angus, a powerful magnate in late 15th- and early 16th-century Scotland.
-
E.
Margaret Haley
Margaret Haley was an influential American educator and labor activist who championed teachers' rights and helped pioneer the modern teachers' union movement.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005804f5c08190b545bc8b65e953f7 |
completed | May 10, 2026, 10:03 a.m. |
| NEDg | Description generation | batch_6a00592562708190ae88f24fb34c7a02 |
completed | May 10, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a005a17fd648190b2c6843f47a9ee2c |
completed | May 10, 2026, 10:12 a.m. |
Created at: April 9, 2026, 9:44 p.m.