Triple
T6513070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamala Jones |
E148183
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tamala |
E148183
|
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: Tamala | Statement: [Tamala Jones, givenName, Tamala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamala Context triple: [Tamala Jones, givenName, Tamala]
-
A.
Tamala Jones
chosen
Tamala Jones is an American actress known for her work in film and television, including prominent roles in romantic comedies and the TV series "Castle."
-
B.
Alana
Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
-
C.
Bindi Irwin
Bindi Irwin is an Australian conservationist, television personality, and daughter of the late “Crocodile Hunter” Steve Irwin, known for continuing her family’s wildlife and environmental advocacy work.
-
D.
Tamara
Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
-
E.
Laleia
Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3db330819092503af4fb0649ea |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d50f7d048190ad13dcd3f80c2eb4 |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 27, 2026, 1:44 p.m.