Triple
T3763915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heath Ledger |
E82624
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Matilda Ledger |
E196187
|
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: Matilda Ledger | Statement: [Heath Ledger, child, Matilda Ledger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matilda Ledger Context triple: [Heath Ledger, child, Matilda Ledger]
-
A.
Matilda Ledger
chosen
Matilda Ledger is the daughter of actors Michelle Williams and the late Heath Ledger.
-
B.
Isabella Astin
Isabella Astin is a daughter of American actor and filmmaker Sean Astin.
-
C.
Sadie Frost
Sadie Frost is an English actress, producer, and fashion designer known for her roles in films like "Bram Stoker's Dracula" and for co-founding the fashion label Frost French.
-
D.
Anne Durkan
Anne Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
-
E.
Bella Heathcote
Bella Heathcote is an Australian actress known for her roles in films such as "Fifty Shades Darker" and "Dark Shadows," as well as various television series.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfbecf8819099d80af480cbe2d2 |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e51e54108190ab60e189cfbb0db0 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.