Triple
T20585529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Maria Louisa Italiano |
E505775
|
entity |
| Predicate | child |
P120
|
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: [Anna Maria Louisa Italiano, child, Max Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Brooks Context triple: [Anna Maria Louisa Italiano, child, 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.
Ted Dekker
Ted Dekker is a bestselling Christian fiction and thriller author known for suspenseful novels that often explore spiritual themes and the battle between good and evil.
-
D.
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.
-
E.
Jason Hall
Jason Hall is an American screenwriter and director best known for writing the acclaimed war drama film "American Sniper."
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a976bca4819086a4949e299159b5 |
completed | April 20, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08aceef59881908b63e33baa53b35f |
completed | May 16, 2026, 5:44 p.m. |
Created at: April 16, 2026, 11:40 a.m.