Triple
T8244201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Last Rung on the Ladder |
E192809
|
entity |
| Predicate | narrator |
P2181
|
FINISHED |
| Object | Larry |
E721784
|
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: Larry | Statement: [The Last Rung on the Ladder, narrator, Larry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Context triple: [The Last Rung on the Ladder, narrator, Larry]
-
A.
Larry
Larry is the given name of Larry Bird, the legendary Hall of Fame Boston Celtics forward widely regarded as one of the greatest basketball players in NBA history.
-
B.
Larry
Larry is the sarcastic and somewhat cynical cameraman who works alongside Phil Connors in the film "Groundhog Day."
-
C.
Larry
Larry is the commonly used nickname of Lawrence Joseph Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
-
D.
Larry
Larry is the given name of Larry Berra, better known as Yogi Berra, the legendary American baseball catcher and manager.
-
E.
Larry
chosen
Larry is a central character in Stephen King’s short story “The Last Rung on the Ladder,” whose relationship with his sister and a childhood tragedy drives the narrative’s emotional impact.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78711f5081909c2f357334491a07 |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd680b0f608190b69336228346b47d |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:47 p.m.