Triple
T17900885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Lounsbery |
E447572
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Bambi |
E60283
|
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: Bambi | Statement: [John Lounsbery, workedOn, Bambi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bambi Context triple: [John Lounsbery, workedOn, Bambi]
-
A.
Bambi
chosen
Bambi is a classic 1942 animated film produced by Walt Disney that follows the life and coming-of-age of a young deer in the forest.
-
B.
Bambi
Bambi is the Hall of Fame American football wide receiver Lance Alworth, renowned for his speed, agility, and acrobatic pass-catching.
-
C.
Bambi II
Bambi II is a 2006 direct-to-video animated film from Disney that explores Bambi’s childhood and relationship with his father, the Great Prince of the Forest.
-
D.
Lady and the Tramp
Lady and the Tramp is a classic 1955 American animated romantic film produced by Disney, renowned for its love story between two dogs from different social backgrounds and its iconic spaghetti dinner scene.
-
E.
Dumbo
Dumbo is the nickname of the Curtiss C-46 Commando, a World War II-era American military transport aircraft known for its large cargo capacity and service in challenging flying conditions.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d8321bc8190a3f679d96323cbbb |
completed | April 19, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b286b088190b6cf9731da839669 |
completed | May 12, 2026, 12:20 p.m. |
Created at: April 10, 2026, 10:19 a.m.