Triple
T21993938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tracey Ullman |
E543155
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tracey |
—
|
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: Tracey | Statement: [Tracey Ullman, givenName, Tracey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tracey Context triple: [Tracey Ullman, givenName, Tracey]
-
A.
Tracey
chosen
Tracey is a given name used for people of any gender, more commonly as a feminine name in modern usage.
-
B.
Tracye
Tracye is a person known for being a friend of Shanté Smith.
-
C.
Tracy Yvonne
Tracy Yvonne is a film producer best known for her work on the horror-comedy movie "The Blackening."
-
D.
Tracee
Tracee is a young Bada Bing stripper in The Sopranos whose brutal death at the hands of Ralph Cifaretto becomes a pivotal and disturbing moment in the series.
-
E.
Trisha
Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127639bf48190800b3fa3c1527983 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:17 p.m.