Triple
T20461174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trauma (1993 film) |
E501925
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Laura Johnson |
—
|
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 Johnson | Statement: [Trauma (1993 film), starring, Laura Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Johnson Context triple: [Trauma (1993 film), starring, Laura Johnson]
-
A.
Laura Johnson
Laura Johnson is an actress known for her role in the stage production "Opening Night."
-
B.
Laura Johnson
chosen
Laura Johnson is an American actress known for her work in film and television, including roles in series such as "Falcon Crest."
-
C.
Gabrielle Bullock
Gabrielle Bullock is an American architect and principal at the global firm Perkins&Will, recognized for her leadership in diversity, equity, and inclusion within the architecture profession.
-
D.
Carol Bridger
Carol Bridger is a fictional character known primarily as the late wife of Captain Nathan Bridger in the science fiction television series "seaQuest DSV."
-
E.
Laura Kugler
Laura Kugler was the wife of Victor Kugler, one of the helpers who hid Anne Frank and her family during World War II.
- 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_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a642648190808709020f91122b |
completed | April 20, 2026, 9:12 p.m. |
Created at: April 16, 2026, 11:33 a.m.