Triple
T6214678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lokasundari Ammal |
E138955
|
entity |
| Predicate | spouseOfNobelLaureateIn |
P68945
|
FINISHED |
| Object | Physics |
—
|
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: Physics | Statement: [Lokasundari Ammal, spouseOfNobelLaureateIn, Physics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseOfNobelLaureateIn Context triple: [Lokasundari Ammal, spouseOfNobelLaureateIn, Physics]
-
A.
spouseNotableFor
Indicates that a person's spouse is recognized or distinguished for a particular achievement, role, or characteristic.
-
B.
sharedNobelPrizeWith
Indicates that two individuals were jointly awarded the same Nobel Prize, sharing the honor for a particular year and category.
-
C.
hasLaureate
Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
-
D.
notableLaureatesInclude
Indicates that a group, institution, or award has among its distinguished recipients or members certain specified laureates.
-
E.
siblingOfNobelLaureateInLiterature
Indicates a person who is the sibling of an individual who has received the Nobel Prize in Literature.
- F. None of above. chosen
Provenance (4 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0629fd3c08190a121097c188417c4 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055fdea3c81908f5d910f0d36234a |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:21 p.m.