Triple
T1755507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Williams |
E38536
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Matilda Ledger
Matilda Ledger is the daughter of actors Michelle Williams and the late Heath Ledger.
|
E196187
|
NE FINISHED |
How this triple was built (4 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: [Michelle Williams, hasChild, Matilda Ledger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matilda Ledger Context triple: [Michelle Williams, hasChild, Matilda Ledger]
-
A.
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.
-
B.
Isla Dawson
Isla Dawson is a remote Chilean island in southern Patagonia, located within the Strait of Magellan and known for its harsh climate and historical use as a mission and penal colony.
-
C.
Tamsin Wise
Tamsin Wise is a member of the Wise family, related to British actor and producer Greg Wise.
-
D.
Grace Gummer
Grace Gummer is an American actress known for her work in film, television, and theater, including roles in series like "Mr. Robot" and "The Newsroom."
-
E.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matilda Ledger Triple: [Michelle Williams, hasChild, Matilda Ledger]
Generated description
Matilda Ledger is the daughter of actors Michelle Williams and the late Heath Ledger.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matilda Ledger Target entity description: Matilda Ledger is the daughter of actors Michelle Williams and the late Heath Ledger.
-
A.
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.
-
B.
Isla Dawson
Isla Dawson is a remote Chilean island in southern Patagonia, located within the Strait of Magellan and known for its harsh climate and historical use as a mission and penal colony.
-
C.
Tamsin Wise
Tamsin Wise is a member of the Wise family, related to British actor and producer Greg Wise.
-
D.
Grace Gummer
Grace Gummer is an American actress known for her work in film, television, and theater, including roles in series like "Mr. Robot" and "The Newsroom."
-
E.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
- F. None of above. chosen
Provenance (5 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa643b623081908064be75758ec5de |
completed | March 6, 2026, 5:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada0ea4cc08190b47d81a54c294a9a |
completed | March 8, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69ada1a401548190af00bae3b89e46b0 |
completed | March 8, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ada26804288190838a93b71b494650 |
completed | March 8, 2026, 4:23 p.m. |
Created at: March 4, 2026, 7:31 p.m.