Triple
T17820636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D. B. Norton |
E444971
|
entity |
| Predicate | partOfFictionalUniverse |
P3758
|
FINISHED |
| Object | Meet John Doe universe |
—
|
NE NERFINISHED |
How this triple was built (3 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: Meet John Doe universe | Statement: [D. B. Norton, partOfFictionalUniverse, Meet John Doe universe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meet John Doe universe Context triple: [D. B. Norton, partOfFictionalUniverse, Meet John Doe universe]
-
A.
Lost universe
The Lost universe is the fictional setting of the television series "Lost," encompassing the mysterious island, its supernatural phenomena, and the interconnected lives and timelines of its characters.
-
B.
Multiverse
Multiverse is a Latin jazz album by drummer, composer, and bandleader Bobby Sanabria that showcases his innovative fusion of Afro-Cuban rhythms with contemporary jazz orchestration.
-
C.
Multiverse
The Multiverse in Michael Moorcock’s work is a vast interconnected reality of parallel universes linked by recurring archetypal heroes and cosmic forces of Law and Chaos.
-
D.
Kenzie–Gennaro universe
The Kenzie–Gennaro universe is the gritty crime-fiction setting of Dennis Lehane’s novels featuring Boston private investigators Patrick Kenzie and Angela Gennaro.
-
E.
The Human Comedy universe
The Human Comedy universe is the fictional small-town American setting created by William Saroyan, centered on the lives and wartime experiences of the Macauley family and their community.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meet John Doe universe Target entity description: The Meet John Doe universe is the fictional setting of the 1941 Frank Capra film "Meet John Doe," centered on themes of populism, media manipulation, and the power of ordinary citizens.
-
A.
Lost universe
The Lost universe is the fictional setting of the television series "Lost," encompassing the mysterious island, its supernatural phenomena, and the interconnected lives and timelines of its characters.
-
B.
Multiverse
Multiverse is a Latin jazz album by drummer, composer, and bandleader Bobby Sanabria that showcases his innovative fusion of Afro-Cuban rhythms with contemporary jazz orchestration.
-
C.
Multiverse
The Multiverse in Michael Moorcock’s work is a vast interconnected reality of parallel universes linked by recurring archetypal heroes and cosmic forces of Law and Chaos.
-
D.
Kenzie–Gennaro universe
The Kenzie–Gennaro universe is the gritty crime-fiction setting of Dennis Lehane’s novels featuring Boston private investigators Patrick Kenzie and Angela Gennaro.
-
E.
The Human Comedy universe
The Human Comedy universe is the fictional small-town American setting created by William Saroyan, centered on the lives and wartime experiences of the Macauley family and their community.
- F. None of above. chosen
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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48910eb8881908db8ec08e2752d7d |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.