Triple
T19527958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Slam bomb |
E488580
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Ten Ton Tessie |
—
|
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: Ten Ton Tessie | Statement: [Grand Slam bomb, alsoKnownAs, Ten Ton Tessie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ten Ton Tessie Context triple: [Grand Slam bomb, alsoKnownAs, Ten Ton Tessie]
-
A.
Ten Ton Tess
chosen
Ten Ton Tess was the colloquial nickname for the massive British Grand Slam earthquake bomb used during World War II to destroy heavily fortified targets.
-
B.
Tiffy
Tiffy is a common nickname or diminutive form of the given name Tiffany.
-
C.
The Thumper
The Thumper was the famous nickname of Ted Williams, the legendary Boston Red Sox slugger widely regarded as one of the greatest hitters in baseball history.
-
D.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
E.
Mavis Grind
Mavis Grind is a narrow isthmus in Northmavine, Shetland, known for nearly connecting the Atlantic Ocean and the North Sea at one of their closest points.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363d43148190af25caaa57accf9b |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.