Triple
T3998566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Sawyer universe |
E87156
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Sid Sawyer |
E31231
|
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: Sid Sawyer | Statement: [Tom Sawyer universe, featuresCharacter, Sid Sawyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sid Sawyer Context triple: [Tom Sawyer universe, featuresCharacter, Sid Sawyer]
-
A.
Sid Sawyer
chosen
Sid Sawyer is Tom Sawyer’s well-behaved but tattling half-brother in Mark Twain’s classic novel "The Adventures of Tom Sawyer."
-
B.
Peter Hawkins
Peter Hawkins was a British voice actor best known for originating the iconic voices of the Daleks in the classic Doctor Who television series.
-
C.
Sawyer
Sawyer is a surname of English origin commonly borne by individuals in English-speaking countries.
-
D.
Nathan Ford
Nathan Ford is the brilliant but morally conflicted former insurance investigator who leads a team of thieves and con artists in the television series "Leverage."
-
E.
Paul Sycamore
Paul Sycamore is a quirky, inventive patriarch in the play "You Can't Take It with You," known for his eccentric experiments and warm, unconventional family life.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa4065ac8190a898a1025365b8e9 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c57f60c819080e237b4b056d73b |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.