Triple
T13644823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Army Men |
E326074
|
entity |
| Predicate | loyalTo |
P1201
|
FINISHED |
| Object | Andy Davis |
E236459
|
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: Andy Davis | Statement: [Green Army Men, loyalTo, Andy Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Davis Context triple: [Green Army Men, loyalTo, Andy Davis]
-
A.
Andy Davis
chosen
Andy Davis is the young boy and devoted toy owner whose imagination and attachment to his toys drive much of the emotional core of the Toy Story film series.
-
B.
Danny Davis
Danny Davis is a professional wrestling promoter and former referee best known for founding and running the developmental promotion Ohio Valley Wrestling.
-
C.
Paul Davis
Paul Davis is a British musician best known as a member of the influential Manchester band Happy Mondays.
-
D.
Paul Davis
Paul Davis was an American theatre director and producer best known for his marriage to comedic actress Alice Pearce.
-
E.
Don Davis
Don Davis is an American composer best known for his innovative, genre-defining film scores for The Matrix trilogy.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d44e2148190a279aa6d103bf204 |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:51 p.m.