Triple
T9787771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bullseye |
E237530
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Slinky Dog |
E238845
|
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: Slinky Dog | Statement: [Bullseye, hasFriend, Slinky Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slinky Dog Context triple: [Bullseye, hasFriend, Slinky Dog]
-
A.
Slinky Dog
chosen
Slinky Dog is a stretchable toy dachshund and loyal member of Woody’s gang in the Toy Story film series.
-
B.
Slinky Dog Dash
Slinky Dog Dash is a family-friendly launched roller coaster in Toy Story Land themed around Slinky Dog from Pixar’s Toy Story films.
-
C.
Pooch
Pooch is a skilled and resourceful member of the elite black-ops team in the action film "The Losers."
-
D.
Rascal the Raccoon
Rascal the Raccoon is the costumed raccoon mascot who entertains fans at Hudson Valley Renegades minor league baseball games.
-
E.
Buddy the Dog
Buddy the Dog is the golden retriever who played the basketball-playing canine protagonist in the family film "Air Bud."
- 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_69d1d5a8564081908b315d2cf68c8e14 |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:27 p.m.