Triple
T14536081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gingerbread Man (Shrek) |
E341046
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Gingy |
E864566
|
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: Gingy | Statement: [Gingerbread Man (Shrek), alsoKnownAs, Gingy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gingy Context triple: [Gingerbread Man (Shrek), alsoKnownAs, Gingy]
-
A.
Gingy
chosen
Gingy is the wisecracking, resilient gingerbread man character from the Shrek franchise, known for his high-pitched voice and memorable comic moments.
-
B.
Ogikubo
Ogikubo is a residential and commercial district in western Tokyo known for its relaxed atmosphere, ramen shops, and role as a transport hub on the Chūō Line.
-
C.
Yokota
Yokota is a key United States Air Force base in Japan that serves as a major hub for American military operations and presence in the Asia-Pacific region.
-
D.
Onich
Onich is a small village on the shores of Loch Linnhe in the Scottish Highlands, known for its scenic coastal views and proximity to Glencoe and Fort William.
-
E.
Hagonoy
Hagonoy is a coastal agricultural municipality in the province of Davao del Sur in the Philippines.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1b9d39881908c7a3a5b17d432af |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5ae04881909e7eb766fca33066 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.