Triple
T6140008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dede Tate |
E136936
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dede |
E136936
|
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: Dede | Statement: [Dede Tate, givenName, Dede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dede Context triple: [Dede Tate, givenName, Dede]
-
A.
Dede Tate
chosen
Dede Tate is a central character in the film "Little Man Tate," portrayed as the caring but overwhelmed single mother of a child prodigy.
-
B.
Dededo
Dededo is a major village and commercial center in northern Guam, known for its large population and role as a key residential and retail hub on the island.
-
C.
Dara
Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
-
D.
Barakude
Barakude is the nickname of the Croatia men's national basketball team, reflecting their aggressive and dynamic style of play.
-
E.
Dettah
Dettah is a small Dene First Nations community located near Yellowknife in the Northwest Territories of Canada.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb030fc8190b78e4967eea65611 |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135ecd62c8190911b98133bf71dfc |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:15 p.m.