Triple
T17887308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth-Two |
E447230
|
entity |
| Predicate | homeOfCharacter |
P107735
|
FINISHED |
| Object | Al Pratt |
—
|
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: Al Pratt | Statement: [Earth-Two, homeOfCharacter, Al Pratt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Pratt Context triple: [Earth-Two, homeOfCharacter, Al Pratt]
-
A.
Al Pratt
chosen
Al Pratt is a DC Comics superhero best known as the original Atom, a diminutive but super-strong member of the Golden Age hero team.
-
B.
Bo Pratt
Bo Pratt is a central character in the British period drama series "Lark Rise to Candleford," which portrays life in two contrasting rural communities in late 19th-century England.
-
C.
Carlos Pratts
Carlos Pratts is an American actor best known for his breakout role as a talented runner in the Disney sports drama film "McFarland, USA."
-
D.
Greg Pratt
Greg Pratt is a fictional emergency medicine physician and central character on the television series "ER," known for his strong-willed personality and evolving leadership in the hospital's ER.
-
E.
Ben Pritchard
Ben Pritchard is a guitarist best known for his work with the influential English post-punk band The Fall.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c14c4348190bb77712d9eae1d51 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.