Triple
T12886054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girl with Curious Hair |
E308226
|
entity |
| Predicate | hasStory |
P11859
|
FINISHED |
| Object |
Lyndon
Lyndon is a short story by David Foster Wallace, included in his collection "Girl with Curious Hair," that offers a fictionalized, introspective portrayal of former U.S. President Lyndon B. Johnson.
|
E1008361
|
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: Lyndon | Statement: [Girl with Curious Hair, hasStory, Lyndon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyndon Context triple: [Girl with Curious Hair, hasStory, Lyndon]
-
A.
Lyndon
Lyndon is a masculine given name most famously borne by Lyndon B. Johnson, the 36th president of the United States.
-
B.
Lyndon Evelyn
Lyndon Evelyn was a British politician who served as a Conservative Member of Parliament in the 19th century.
-
C.
Lyndon James
Lyndon James is an English cricketer known for playing as an all-rounder for Nottinghamshire.
-
D.
Lyndon Henry
Lyndon Henry is a notable individual distinguished enough to be recognized as a prominent bearer of the given name Lyndon.
-
E.
Lyndon Hannibal
Lyndon Hannibal is a Sri Lankan politician and public figure known for his involvement in national governance.
- 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: Lyndon Triple: [Girl with Curious Hair, hasStory, Lyndon]
Generated description
Lyndon is a short story by David Foster Wallace, included in his collection "Girl with Curious Hair," that offers a fictionalized, introspective portrayal of former U.S. President Lyndon B. Johnson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyndon Target entity description: Lyndon is a short story by David Foster Wallace, included in his collection "Girl with Curious Hair," that offers a fictionalized, introspective portrayal of former U.S. President Lyndon B. Johnson.
-
A.
Lyndon
Lyndon is a masculine given name most famously borne by Lyndon B. Johnson, the 36th president of the United States.
-
B.
Lyndon Evelyn
Lyndon Evelyn was a British politician who served as a Conservative Member of Parliament in the 19th century.
-
C.
Lyndon James
Lyndon James is an English cricketer known for playing as an all-rounder for Nottinghamshire.
-
D.
Lyndon Henry
Lyndon Henry is a notable individual distinguished enough to be recognized as a prominent bearer of the given name Lyndon.
-
E.
Lyndon Hannibal
Lyndon Hannibal is a Sri Lankan politician and public figure known for his involvement in national governance.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714415c08190aa9944b494a3ddad |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a5576ae4819084914697b2e86d9f |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a641d1988190b9af41c8c7ca599e |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a7792f948190bb0b324bee0cd8ac |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:39 p.m.