Triple
T20011449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Hathaway |
E494598
|
entity |
| Predicate | bequestFromSpouse |
P45732
|
FINISHED |
| Object | second-best bed |
—
|
LITERAL 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: second-best bed | Statement: [Anne Hathaway, bequestFromSpouse, second-best bed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bequestFromSpouse Context triple: [Anne Hathaway, bequestFromSpouse, second-best bed]
-
A.
bequestEstablished
Indicates that a bequest has been formally created or put into effect, establishing a legally recognized transfer of assets upon someone’s death.
-
B.
willBequest
Indicates a relationship where a person specifies in a will that certain assets or rights are to be given to another party after their death.
-
C.
bequeathedBy
chosen
Indicates that something has been left or passed on to an entity through the will or inheritance of another entity.
-
D.
throughSpouse
Indicates a relationship or connection that exists indirectly between two entities by way of one entity’s spouse.
-
E.
bequeathed
Indicates that one entity has left or given property, rights, or assets to another entity through a will or testament.
- F. None of above.
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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623773d88190826616a02d3c3e69 |
completed | April 20, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69e54cdddbd48190becc8b2aa5ab4ef9 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:33 p.m.