Triple
T22804696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awake (TV series) |
E564499
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Laura Allen |
—
|
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: Laura Allen | Statement: [Awake (TV series), starring, Laura Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Allen Context triple: [Awake (TV series), starring, Laura Allen]
-
A.
Laura Allen
chosen
Laura Allen is an American actress best known for her role as Lily Moore on the science fiction television series "The 4400."
-
B.
Amy Allen
Amy Allen is an American philosopher known for her work in critical theory, feminism, and social and political philosophy.
-
C.
Amy Allen
Amy Allen is an American songwriter and singer known for penning hit pop songs for major artists such as Harry Styles, Halsey, and Selena Gomez.
-
D.
Karen Jane Allen
Karen Jane Allen is an American actress best known for her role as Marion Ravenwood in the Indiana Jones film series.
-
E.
Janis Allen
Janis Allen is a screenwriter best known for co-writing the 1979 comedy film "Meatballs."
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5b37cc8190a41d8f304ba8d609 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:31 p.m.