Triple
T12947468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parental Guidance |
E309806
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Lisa Loomer |
E897905
|
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: Lisa Loomer | Statement: [Parental Guidance, screenwriter, Lisa Loomer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisa Loomer Context triple: [Parental Guidance, screenwriter, Lisa Loomer]
-
A.
Lisa Loomer
chosen
Lisa Loomer is an American playwright and screenwriter known for her socially conscious works in theater and film.
-
B.
Lisa Blum
Lisa Blum is a film producer known for her work on the horror-comedy movie "A Haunted House."
-
C.
Lisa Bluder
Lisa Bluder is a longtime head coach of the University of Iowa women's basketball team, known for leading the Hawkeyes to national prominence behind star players like Caitlin Clark.
-
D.
Laura Malinger
Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
-
E.
Lori Singer
Lori Singer is an American actress and cellist best known for her role as Ariel Moore in the 1984 film "Footloose."
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1c67b8819094e5243267f93ce2 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2818ec8190ae926a0ffdeb7bb7 |
completed | May 9, 2026, 3 p.m. |
Created at: April 9, 2026, 5:43 p.m.