Triple
T21524524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Life |
E531059
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jessica Williams |
—
|
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: Jessica Williams | Statement: [Love Life, starring, Jessica Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Williams Context triple: [Love Life, starring, Jessica Williams]
-
A.
Jessica Williams
chosen
Jessica Williams is an American actress and comedian best known as a former correspondent on The Daily Show and for her roles in films and television series such as The Incredible Jessica James and Love Life.
-
B.
Jessica Williams
Jessica Williams is a character from the animated television series "Craig of the Creek," known as Craig's imaginative and energetic younger sister.
-
C.
Maria Williams
Maria Williams is known as the spouse of former West Indies cricketer Chester Williams.
-
D.
Jennifer Williams
Jennifer Williams is known as the daughter of acclaimed American composer and conductor John Williams.
-
E.
Jennifer Williams
Jennifer Williams is an American reality television personality and entrepreneur best known for appearing on the VH1 series "Basketball Wives."
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884f4504819086bd632e62f02f58 |
completed | April 26, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.