Triple
T6975899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonnet Noel Whitaker |
E161715
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Sonnet
Sonnet is a given name that can be used for people, such as Sonnet Noel Whitaker.
|
E633752
|
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: Sonnet | Statement: [Sonnet Noel Whitaker, givenName, Sonnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sonnet Context triple: [Sonnet Noel Whitaker, givenName, Sonnet]
-
A.
Sonnets
Sonnets is a celebrated collection of 154 lyric poems by William Shakespeare that explore themes such as love, beauty, time, and mortality.
-
B.
Spenserian stanza
A Spenserian stanza is a nine-line poetic form with a specific rhyme scheme and meter, famously used by Edmund Spenser in "The Faerie Queene" and later adopted by Romantic poets.
-
C.
Villanelle
Villanelle is a stylish, psychopathic assassin and central character in the television series "Killing Eve."
-
D.
Alcaic stanza
The Alcaic stanza is an ancient Greek lyrical verse form, later adopted by Latin poets like Horace, characterized by a specific quantitative metrical pattern traditionally used for serious or reflective themes.
-
E.
Sonnets and Canzonets
Sonnets and Canzonets is a collection of short lyrical poems by American Transcendentalist writer and educator Bronson Alcott.
- 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: Sonnet Triple: [Sonnet Noel Whitaker, givenName, Sonnet]
Generated description
Sonnet is a given name that can be used for people, such as Sonnet Noel Whitaker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sonnet Target entity description: Sonnet is a given name that can be used for people, such as Sonnet Noel Whitaker.
-
A.
Sonnets
Sonnets is a celebrated collection of 154 lyric poems by William Shakespeare that explore themes such as love, beauty, time, and mortality.
-
B.
Spenserian stanza
A Spenserian stanza is a nine-line poetic form with a specific rhyme scheme and meter, famously used by Edmund Spenser in "The Faerie Queene" and later adopted by Romantic poets.
-
C.
Villanelle
Villanelle is a stylish, psychopathic assassin and central character in the television series "Killing Eve."
-
D.
Alcaic stanza
The Alcaic stanza is an ancient Greek lyrical verse form, later adopted by Latin poets like Horace, characterized by a specific quantitative metrical pattern traditionally used for serious or reflective themes.
-
E.
Sonnets and Canzonets
Sonnets and Canzonets is a collection of short lyrical poems by American Transcendentalist writer and educator Bronson Alcott.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3d3ab08190b107f3229c357dd2 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761ab41b0819084d26c10bb763f8e |
completed | March 28, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69c763b0d5cc8190bdd82fc8a5a95ef1 |
completed | March 28, 2026, 5:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c76435fd2c819099143ea12f21d095 |
completed | March 28, 2026, 5:16 a.m. |
Created at: March 27, 2026, 2:31 p.m.