Triple
T19092365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Brooks |
E467318
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Max Brooks |
—
|
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: Max Brooks | Statement: [Max Brooks, name, Max Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Brooks Context triple: [Max Brooks, name, 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.
Josh Malerman
Josh Malerman is an American novelist and musician best known for writing the horror novel "Bird Box," which was adapted into a popular Netflix film.
-
C.
Rex Koontz
Rex Koontz is an art historian and scholar specializing in ancient Mesoamerican art and archaeology, known for his collaborative work on influential studies of pre-Columbian cultures.
-
D.
Jason Hall
Jason Hall is an American screenwriter and director best known for writing the acclaimed war drama film "American Sniper."
-
E.
Paul Brooks
Paul Brooks is known primarily as the husband of civil rights activist and Freedom Rider Catherine Burks-Brooks.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34c22a08190bf34f92f727268c5 |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.