Triple
T4556446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live and Learn |
E120490
|
entity |
| Predicate | introducesMainCharacter |
P38919
|
FINISHED |
| Object | Ben Mason |
E163416
|
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: Ben Mason | Statement: [Live and Learn, introducesMainCharacter, Ben Mason]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Mason Context triple: [Live and Learn, introducesMainCharacter, Ben Mason]
-
A.
Ben Mason
chosen
Ben Mason is a central teenage resistance fighter in the science fiction television series "Falling Skies," known for his complex struggle with alien influence and loyalty to his family.
-
B.
Ben Mason
Ben Mason was a member of the 2nd Massachusetts Militia Regiment, a state military unit associated with Massachusetts' citizen-soldier forces.
-
C.
Ross Mason
Ross Mason is a British entrepreneur and software engineer best known as the founder of MuleSoft, a leading integration and API management platform.
-
D.
Luke Murray
Luke Murray is an American basketball coach known for his assistant coaching roles at several major college programs and as the son of actor Bill Murray.
-
E.
Jack Mullaney
Jack Mullaney was an American character actor known for his comedic roles in mid-20th-century film and television.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd62334e4081908ad7ad18d759663d |
completed | March 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3a139f08190a0211d5848ccdfad |
completed | March 20, 2026, 11:09 p.m. |
Created at: March 20, 2026, 1:09 p.m.