Triple
T35146119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constellations |
E1014838
|
entity |
| Predicate | characterMarianneOccupation |
P200457
|
FINISHED |
| Object | physicist |
—
|
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: physicist | Statement: [Constellations, characterMarianneOccupation, physicist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterMarianneOccupation Context triple: [Constellations, characterMarianneOccupation, physicist]
-
A.
romanticPartnerOccupation
Indicates that the occupation specified is the job or profession held by a person’s romantic partner.
-
B.
sonOccupation
Indicates that a specified occupation is the job or professional role held by a person's son.
-
C.
marriedToProfession
Indicates a relationship where a person is married to someone who has a specified profession or occupational role.
-
D.
exSpouseOccupation
Indicates that a person’s former spouse had or has a particular occupation or job role.
-
E.
motherOccupation
Indicates the type of job or profession that a person's mother has.
- 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
| PDg | Predicate description generation | batch_69ff8ba329e08190813e728f0d1bd973 |
completed | May 9, 2026, 7:31 p.m. |
Created at: May 3, 2026, 4:02 p.m.