Triple
T20664629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Land Before Time |
E507851
|
entity |
| Predicate | voiceCast |
P18510
|
FINISHED |
| Object | Judith Barsi |
—
|
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: Judith Barsi | Statement: [The Land Before Time, voiceCast, Judith Barsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judith Barsi Context triple: [The Land Before Time, voiceCast, Judith Barsi]
-
A.
Judith Barsi
chosen
Judith Barsi was a child actress best known for her voice roles in animated films like "The Land Before Time" and "All Dogs Go to Heaven," whose life was tragically cut short by her murder at age 10.
-
B.
Judith Olah
Judith Olah is best known as the wife of Nobel Prize–winning chemist George A. Olah.
-
C.
Barbara Czakó
Barbara Czakó is a chemist and co-author of the textbook "Molecules and Medicine," which explores the chemistry underlying modern pharmaceuticals and therapeutics.
-
D.
Judith Beneski
Judith Beneski is a notable member of the Beneski family, recognized for her significance within that family lineage.
-
E.
Judith Mihalyi
Judith Mihalyi is best known as the wife of American actor René Auberjonois, recognized for his extensive work in film, television, and theater.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f541bc8190ac7946b91647f2b0 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.