Triple
T14702616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady |
E345343
|
entity |
| Predicate | hasChildInFiction |
P82383
|
FINISHED |
| Object |
Danielle
Danielle is a fictional daughter of a lady character, appearing as part of a narrative family relationship in a work of fiction.
|
E1115746
|
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: Danielle | Statement: [Lady, hasChildInFiction, Danielle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danielle Context triple: [Lady, hasChildInFiction, Danielle]
-
A.
Danielle
"Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
-
B.
Danielle
Danielle is the young prodigy and central superheroine of the novel "Chronicles of a Superheroine," known for using her intelligence and creativity to tackle global challenges.
-
C.
Danielle
Danielle is the given first name of American actress and producer Riley Keough, known for her roles in films like "Mad Max: Fury Road" and the series "Daisy Jones & The Six."
-
D.
Danielle
Danielle is a feminine given name commonly used in English- and French-speaking countries, derived from the Hebrew name Daniel.
-
E.
Danielle Chase
Danielle Chase is a supporting character in the television series "My So-Called Life," known as the younger sister of protagonist Angela Chase.
- 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: Danielle Triple: [Lady, hasChildInFiction, Danielle]
Generated description
Danielle is a fictional daughter of a lady character, appearing as part of a narrative family relationship in a work of fiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danielle Target entity description: Danielle is a fictional daughter of a lady character, appearing as part of a narrative family relationship in a work of fiction.
-
A.
Danielle
"Danielle" is a work created by Sarah Churchill, known as part of her contributions to the arts.
-
B.
Danielle
Danielle is the young prodigy and central superheroine of the novel "Chronicles of a Superheroine," known for using her intelligence and creativity to tackle global challenges.
-
C.
Danielle
Danielle is the given first name of American actress and producer Riley Keough, known for her roles in films like "Mad Max: Fury Road" and the series "Daisy Jones & The Six."
-
D.
Danielle
Danielle is a feminine given name commonly used in English- and French-speaking countries, derived from the Hebrew name Daniel.
-
E.
Danielle Chase
Danielle Chase is a supporting character in the television series "My So-Called Life," known as the younger sister of protagonist Angela Chase.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb6071e5c8190bb5509c859135c2d |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0861c308190af0b5da403ecb321 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf368782c8190825247435eab2045 |
completed | May 8, 2026, 2:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf3fe50ac8190ad5529427472eda3 |
completed | May 8, 2026, 2:32 p.m. |
Created at: April 10, 2026, 1:28 a.m.