Triple
T8577885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Matthau |
E203092
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Baby-O |
E744155
|
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: Baby-O | Statement: [Charles Matthau, directed, Baby-O]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby-O Context triple: [Charles Matthau, directed, Baby-O]
-
A.
Baby-O
chosen
Baby-O is a film directed by Charles Matthau, known as one of his notable works in American cinema.
-
B.
Baby-G
Baby-G is a line of durable, fashion-oriented digital watches designed by Casio, often featuring shock resistance, water resistance, and colorful, youth-focused styling.
-
C.
Gerber
Gerber is a small unincorporated rural community located in Tehama County in Northern California.
-
D.
Johnson's Baby
Johnson's Baby is a well-known line of gentle baby care products, including shampoos, lotions, and powders, designed for infants and young children.
-
E.
Avent
Avent is the given name of Francis Avent Gumm, better known as the American actress and singer Judy Garland.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea989bec81909b8c8b4af7c568ff |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea89550f481908a7ed45303b71731 |
completed | April 2, 2026, 5:34 p.m. |
Created at: March 30, 2026, 6:22 p.m.