Triple
T11328987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Over the Hedge |
E268294
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Hammy |
E231689
|
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: Hammy | Statement: [Over the Hedge, mainCharacter, Hammy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hammy Context triple: [Over the Hedge, mainCharacter, Hammy]
-
A.
Hammy
chosen
Hammy is a common nickname or diminutive form of the given name Hamish.
-
B.
Wimpy
Wimpy is a gluttonous, hamburger-loving character from the Popeye franchise, known for his polite demeanor and humorous attempts to get others to buy him food.
-
C.
Rippy
Rippy is the official mascot of the New York Riptide professional lacrosse team, known for energizing fans and representing the team at games and community events.
-
D.
Yum-Yum
Yum-Yum is a central, comedic soprano role in Gilbert and Sullivan’s operetta "The Mikado," portrayed as a charming young schoolgirl who becomes the love interest of the hero, Nanki-Poo.
-
E.
Fat rascal
Fat rascal is a rich, fruity, scone-like teatime bake from Yorkshire, often studded with currants and cherries and traditionally served warm with butter.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5261770ac8190b8fc7e2099aa8ace |
completed | April 19, 2026, 6:59 p.m. |
Created at: April 8, 2026, 9:32 p.m.