Triple
T18802446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando Tatís |
E459789
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tatís |
—
|
NE NERFINISHED |
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: Tatís | Statement: [Fernando Tatís, familyName, Tatís]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatís Context triple: [Fernando Tatís, familyName, Tatís]
-
A.
Tatís
chosen
Tatís is the surname of the Dominican baseball family that includes MLB star Fernando Tatís Jr.
-
B.
Guisa
Guisa is a municipality and town located in Cuba’s eastern Granma Province, known for its rural character and historical significance in the Cuban Revolution.
-
C.
Taita
Taita is a residential suburb in the Hutt Valley region near Wellington, New Zealand.
-
D.
Taita
Taita is a brilliant and enigmatic ancient Egyptian sorcerer and polymath who serves as the central figure in Wilbur Smith’s historical fantasy novels.
-
E.
Taita
The Taita are a Bantu-speaking ethnic group of southeastern Kenya, primarily inhabiting the Taita Hills and known for mixed farming and rich highland cultural traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02400208190b1d84e2b0640df08 |
completed | April 20, 2026, 3:40 a.m. |
Created at: April 10, 2026, 11:53 a.m.