Triple
T12956878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scarlett Estevez |
E310034
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Scarlett |
E734500
|
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: Scarlett | Statement: [Scarlett Estevez, givenName, Scarlett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scarlett Context triple: [Scarlett Estevez, givenName, Scarlett]
-
A.
Scarlett
chosen
Scarlett is the given name of American actress Scarlett Johansson, a prominent Hollywood star known for roles in films like "Lost in Translation" and the Marvel Cinematic Universe.
-
B.
Scarlett
Scarlett is a fictional burlesque performer character associated with The Burlesque Lounge setting.
-
C.
Scarlett
Scarlett is a sequel novel to Margaret Mitchell’s "Gone with the Wind," written by Alexandra Ripley and continuing the story of Scarlett O’Hara.
-
D.
Scarlett O'Hara
Scarlett O'Hara is the strong-willed, manipulative Southern belle who serves as the central heroine of Margaret Mitchell's Civil War–era novel "Gone with the Wind."
-
E.
Scarlett Curtis
Scarlett Curtis is a British writer, activist, and feminist known for her work on mental health advocacy and for editing the bestselling anthology "Feminists Don't Wear Pink (and Other Lies)."
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e2c5bf481908ca6adcfd3354f71 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8dc135c819091b7708d90db25cb |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:44 p.m.