Triple
T3998568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Sawyer universe |
E87156
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Injun Joe |
E15669
|
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: Injun Joe | Statement: [Tom Sawyer universe, featuresCharacter, Injun Joe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Injun Joe Context triple: [Tom Sawyer universe, featuresCharacter, Injun Joe]
-
A.
Injun Joe
chosen
Injun Joe is the violent, vengeful villain in Mark Twain’s novel "The Adventures of Tom Sawyer," known for his role in the story’s darkest and most suspenseful events.
-
B.
Clubber Lang
Clubber Lang is the fierce, hard-hitting boxing antagonist portrayed by Mr. T in the film Rocky III.
-
C.
Vin Tanner
Vin Tanner is a laconic, skilled gunfighter and one of the seven hired protectors in the classic Western film "The Magnificent Seven" (1960).
-
D.
Enoch Snow
Enoch Snow is a central character in the Rodgers and Hammerstein musical "Carousel," portrayed as an ambitious fisherman with strong moral values and comic earnestness.
-
E.
Jemmy
Jemmy was an enslaved African man in colonial South Carolina who led the 1739 Stono Rebellion, one of the largest slave uprisings in British North America.
- 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.