Triple
T6279480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Color Purple |
E140744
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Nettie |
E143316
|
NE FINISHED |
How this triple was built (2 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: Nettie | Statement: [The Color Purple, mainCharacter, Nettie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nettie Context triple: [The Color Purple, mainCharacter, Nettie]
-
A.
Nettie
Nettie is a feminine given name commonly used as a diminutive or nickname for longer names such as Janet, Annette, or Henrietta.
-
B.
Nettie
chosen
Nettie is a key character in "The Color Purple," known as Celie's beloved, intellectually curious sister whose letters and journey abroad provide hope, education, and spiritual grounding to the story.
-
C.
Nettie Fowler
Nettie Fowler is a central character in the Rodgers and Hammerstein musical "Carousel," known as a strong, nurturing figure who helps guide the story’s emotional core.
-
D.
Nellie Bellflower
Nellie Bellflower is an American actress and film producer best known for producing the acclaimed 2004 film "Finding Neverland."
-
E.
Ettie
Ettie is the official chicken-inspired mascot created for the 2019 FIFA Women’s World Cup in France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dc55d48190b5ed48a50f3a742e |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c519549cf0819096d01c23f6c915eb |
completed | March 26, 2026, 11:32 a.m. |
Created at: March 22, 2026, 4:26 p.m.