Triple
T16034037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Ledger |
E388920
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kim Ledger |
E388920
|
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: Kim Ledger | Statement: [Kim Ledger, name, Kim Ledger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Ledger Context triple: [Kim Ledger, name, Kim Ledger]
-
A.
Kim Ledger
chosen
Kim Ledger is an Australian racing car driver and mining engineer best known as the father of the late actor Heath Ledger.
-
B.
Philip Ledger
Philip Ledger was a distinguished British conductor, organist, and academic best known for his leadership of the Choir of King’s College, Cambridge and his influential contributions to choral music.
-
C.
Heath Ledger
Heath Ledger was an acclaimed Australian actor renowned for his intense and transformative performances, most famously as the Joker in "The Dark Knight."
-
D.
River Phoenix
River Phoenix was an acclaimed American actor and teen idol of the late 1980s and early 1990s, known for his sensitive, charismatic performances in films such as "Stand by Me" and "My Own Private Idaho."
-
E.
Jamie Campbell Bower
Jamie Campbell Bower is an English actor, singer, and model known for roles in major franchises such as "Twilight," "Harry Potter," and "Stranger Things."
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833a5aa88190a5cc3f82d55f5b62 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff295a0e08190b80d363f0a48094a |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 4:56 a.m.