Triple
T17983863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meatballs |
E430173
|
entity |
| Predicate | hasScreenwriter |
P62466
|
FINISHED |
| Object | Janis 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: Janis Allen | Statement: [Meatballs, hasScreenwriter, Janis Allen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janis Allen Context triple: [Meatballs, hasScreenwriter, Janis Allen]
-
A.
Janis Allen
chosen
Janis Allen is a screenwriter best known for co-writing the 1979 comedy film "Meatballs."
-
B.
Jeanie Drynan
Jeanie Drynan is an Australian actress best known for her film and television work, including a prominent role in the acclaimed comedy-drama "Muriel's Wedding."
-
C.
Cheryl Alley
Cheryl Alley, also known as Cheryl Howard, is an American writer and actress best known as the longtime wife of filmmaker Ron Howard.
-
D.
Laura Allen
Laura Allen is an American actress best known for her role as Lily Moore on the science fiction television series "The 4400."
-
E.
Lou Ann Barton
Lou Ann Barton is an American blues singer known for her powerful vocals and work in the Austin, Texas music scene, including collaborations with Stevie Ray Vaughan and other prominent blues artists.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b2992fe481908c0d2757b4de5bad |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 10, 2026, 10:23 a.m.