Triple
T16780308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naturalism (literature) |
E407839
|
entity |
| Predicate | hasKeyWork |
P6200
|
FINISHED |
| Object |
Nana
"Nana" is an 1880 novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a stark, naturalistic critique of French Second Empire society.
|
E70011
|
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: Nana | Statement: [Naturalism (literature), hasKeyWork, Nana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nana Context triple: [Naturalism (literature), hasKeyWork, Nana]
-
A.
Nana
"Nana" is a popular hit single by Tanzanian Bongo Flava artist Diamond Platnumz, known for its romantic theme and widespread success across East Africa.
-
B.
Nana
Nana is a character in the play "The Visit," serving as part of the story’s supporting cast in Friedrich Dürrenmatt’s darkly comic exploration of justice and revenge.
-
C.
Nana
Nana is a figure in Phrygian mythology, often regarded as the mother of the vegetation god Attis and associated with themes of miraculous birth and fertility.
-
D.
Nana
Nana is an Indian honorific title commonly used to respectfully address an elder man or grandfather.
-
E.
Nana
Nana is an estranged relative of Becca, with whom she has a distant or severed family relationship.
- 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: Nana Triple: [Naturalism (literature), hasKeyWork, Nana]
Generated description
"Nana" is an 1880 novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a stark, naturalistic critique of French Second Empire society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nana Target entity description: "Nana" is an 1880 novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a stark, naturalistic critique of French Second Empire society.
-
A.
Nana
chosen
Nana is an 1880 naturalist novel by Émile Zola that follows the rise and fall of a Parisian courtesan as a critique of Second Empire society.
-
B.
Nana
Nana is a 1981 French television adaptation of Émile Zola’s novel, depicting the rise and fall of a Parisian courtesan in the late 19th century.
-
C.
Nana
Nana is a grandparent figure, likely an affectionate grandmother, in Tyler’s family.
-
D.
Nana
Nana was a prominent Chiricahua Apache war leader who fought alongside Geronimo in resistance to U.S. and Mexican military forces in the late 19th century.
-
E.
Nana
Nana is a person or character associated with Louiset, likely within a shared narrative, social, or creative context.
- F. None of above.
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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b214cebc81909de80e74b4bac5f8 |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab0300e48190ad088cd11098ca34 |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00aba5fb388190ab98a0c8ee50340b |
completed | May 10, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ac54a11c81909afe9244e9fe0656 |
completed | May 10, 2026, 4:03 p.m. |
Created at: April 10, 2026, 5:22 a.m.