Triple
T14962586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebel |
E373098
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tamala Jones |
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 Jones | Statement: [Rebel, starring, Tamala Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamala Jones Context triple: [Rebel, starring, Tamala Jones]
-
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.
Tamala Edwards
Tamala Edwards is an American journalist and television news anchor known for her work with ABC News and Philadelphia’s 6abc Action News.
-
C.
Joy Denalane
Joy Denalane is a German soul and R&B singer-songwriter known for blending neo-soul, jazz, and African musical influences in her work.
-
D.
Kimberley Locke
Kimberley Locke is an American singer, songwriter, and television personality who gained national recognition as a standout contestant on the second season of American Idol.
-
E.
Keisha Castle-Hughes
Keisha Castle-Hughes is a New Zealand actress best known for her Oscar-nominated breakthrough role in the film "Whale Rider" and later appearances in projects like "Game of Thrones."
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bdeec408190893d1db9254da24e |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:40 a.m.