Triple
T22810634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tommy Swerdlow |
E564661
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Little Giants |
—
|
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: Little Giants | Statement: [Tommy Swerdlow, workedOn, Little Giants]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Little Giants Context triple: [Tommy Swerdlow, workedOn, Little Giants]
-
A.
Little Giants
chosen
Little Giants is a 1994 family sports comedy film about a misfit youth football team that challenges a powerhouse squad in a small-town rivalry.
-
B.
Little Giants
Little Giants is the nickname and mascot of Wabash College’s athletic teams, symbolizing the school’s competitive spirit despite its small size.
-
C.
Little Giants
Little Giants is the nickname and mascot for the athletic teams representing Fremont Ross High School.
-
D.
Little Giant
"Little Giant" was the famous nickname of Stephen A. Douglas, a prominent 19th-century American politician known for his influential role in pre–Civil War debates and legislation.
-
E.
Little Giant
Little Giant is the nickname of the Pittsburgh and Lake Erie Railroad, a regional U.S. railroad noted for its heavy freight traffic and outsized economic impact relative to its size.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d60186881908f6cb609c536dc91 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:32 p.m.