Triple
T7403191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annette |
E170799
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Nettie |
E368295
|
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: [Annette, hasDiminutive, Nettie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nettie Context triple: [Annette, hasDiminutive, Nettie]
-
A.
Nettie
chosen
Nettie is a feminine given name commonly used as a diminutive or nickname for longer names such as Janet, Annette, or Henrietta.
-
B.
Nettie
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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26ea27c8190a55e0e0314b463d8 |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81110d7648190a8938db7061be454 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.