Triple
T5494109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Brooks |
E123770
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Max Brooks |
E467318
|
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: Max Brooks | Statement: [Mel Brooks, hasChild, Max Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Brooks Context triple: [Mel Brooks, hasChild, Max Brooks]
-
A.
Max Brooks
chosen
Max Brooks is an American author and screenwriter best known for his zombie-themed works such as "World War Z" and "The Zombie Survival Guide."
-
B.
Paul Brooks
Paul Brooks is known primarily as the husband of civil rights activist and Freedom Rider Catherine Burks-Brooks.
-
C.
Jack Carr
Jack Carr is an actor known for his role in the film "Hellgate."
-
D.
Max Allan Collins
Max Allan Collins is an American mystery and crime writer best known for his graphic novel "Road to Perdition" and his extensive work in detective fiction and tie-in novels.
-
E.
Rand Brooks
Rand Brooks was an American film and television actor best known for his roles in classic Hollywood productions such as "Gone with the Wind" and numerous Westerns.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9294ea9c8190b394a8528c385ee9 |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c95ba008190ad61e1d31ae38d98 |
completed | March 22, 2026, 4:14 a.m. |
Created at: March 20, 2026, 2:10 p.m.