Triple
T9787716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessie |
E237529
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Woody's Roundup gang |
E326070
|
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: Woody's Roundup gang | Statement: [Jessie, memberOf, Woody's Roundup gang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woody's Roundup gang Context triple: [Jessie, memberOf, Woody's Roundup gang]
-
A.
Woody's Roundup
chosen
Woody's Roundup is a family-friendly, Toy Story–themed attraction centered on Woody and his cowboy world, offering an immersive play experience within Disney’s Toy Story Land.
-
B.
Wanz
Wanz is an American singer best known for providing the soulful hook on Macklemore & Ryan Lewis's hit single "Thrift Shop."
-
C.
Timon and Pumbaa
Timon and Pumbaa are a comedic meerkat–warthog duo from Disney’s The Lion King franchise, known for their carefree philosophy and close friendship with Simba.
-
D.
Woody
Woody is the commonly used nickname of American businessman and New York Jets owner Woody Johnson.
-
E.
Woody
Woody is the nickname of Woody Guthrie, the influential American folk singer-songwriter known for his protest music and the anthem "This Land Is Your Land."
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda211b0608190bc8ceb905d02db83 |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c427cb2c81909fce8e1958ab3282 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:27 p.m.