Triple
T8905345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Ian Black |
E212042
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | A Child’s First Book of Trump |
E212035
|
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: A Child’s First Book of Trump | Statement: [Michael Ian Black, notableWork, A Child’s First Book of Trump]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Child’s First Book of Trump Context triple: [Michael Ian Black, notableWork, A Child’s First Book of Trump]
-
A.
A Child’s First Book of Trump
chosen
A Child’s First Book of Trump is a satirical picture book that parodies Donald Trump in the style of a whimsical children’s story.
-
B.
Raising Trump
Raising Trump is a memoir by Ivana Trump in which she recounts her life, marriage to Donald Trump, and experiences raising their three children.
-
C.
The Trump Card
The Trump Card: Playing to Win in Work and Life is a self-help and business advice book by Ivanka Trump that focuses on strategies for achieving professional and personal success.
-
D.
Wigger
Wigger is a river in Switzerland that flows through the Aare basin as one of its tributaries.
-
E.
The First Grader
The First Grader is a 2010 biographical drama film about an elderly Kenyan man who enrolls in primary school to learn to read, directed by Justin Chadwick.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64c3d83081909f181bfd601eaf99 |
completed | April 1, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba2cb5e48190813e9c08198149b0 |
completed | April 3, 2026, 1:01 p.m. |
Created at: March 30, 2026, 6:55 p.m.