Triple
T12894367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheriff Woody Pride |
E308453
|
entity |
| Predicate | closeFriend |
P8712
|
FINISHED |
| Object | Bo Peep |
E238796
|
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: Bo Peep | Statement: [Sheriff Woody Pride, closeFriend, Bo Peep]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bo Peep Context triple: [Sheriff Woody Pride, closeFriend, Bo Peep]
-
A.
Bo Peep
chosen
Bo Peep is a porcelain shepherdess doll from the Toy Story franchise who evolves into a resourceful, independent leader of lost toys.
-
B.
Goldilocks Gamgee
Goldilocks Gamgee is a hobbit of the Shire from J.R.R. Tolkien’s legendarium, known as one of Samwise Gamgee and Rosie Cotton’s daughters in the post–War of the Ring era.
-
C.
Cindy Lou Who
Cindy Lou Who is the kind-hearted little girl from Dr. Seuss's "How the Grinch Stole Christmas!" whose innocence and compassion help transform the Grinch.
-
D.
Woody's steed
Bullseye is the loyal toy horse from the Toy Story franchise who serves as Woody’s faithful companion and mount.
-
E.
Flik
Flik is the inventive and well-meaning ant protagonist of Pixar's animated film "A Bug's Life."
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55daf788190be72af98b288bd70 |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:40 p.m.