Triple
T15744524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cristiane |
E381687
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cristiane |
E381687
|
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: Cristiane | Statement: [Cristiane, givenName, Cristiane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cristiane Context triple: [Cristiane, givenName, Cristiane]
-
A.
Cristiane
chosen
Cristiane is a Brazilian footballer renowned as one of her country’s most prolific forwards, particularly noted for her scoring feats in major international tournaments.
-
B.
Luciana Souza
Luciana Souza is a Brazilian jazz singer and composer acclaimed for her sophisticated vocal style and innovative blend of Brazilian music and contemporary jazz.
-
C.
Karla Souza
Karla Souza is a Mexican actress best known for her role as law student Laurel Castillo on the television drama series "How to Get Away with Murder."
-
D.
Sara Sampaio
Sara Sampaio is a Portuguese fashion model best known for her work with Victoria’s Secret and appearances in major international fashion magazines and campaigns.
-
E.
Caroline Celico
Caroline Celico is a Brazilian socialite, former pastor, and philanthropist known for her work with charitable organizations and her past marriage to footballer Kaká.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502c0c3c8190b8e512df307039c1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8307824881909ba85e4c3da65d28 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.