Triple
T12760055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashoke Ganguli |
E304967
|
entity |
| Predicate | laterHasNationality |
P8495
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Ashoke Ganguli, laterHasNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterHasNationality Context triple: [Ashoke Ganguli, laterHasNationality, American]
-
A.
hasAncestralCitizenshipOf
Indicates that an entity holds or is recognized as holding citizenship of another entity based on ancestral or lineage connections rather than solely on birth or residence.
-
B.
namedAfterCountryOfCitizenship
Indicates that something is named after the country where a person holds citizenship.
-
C.
hasMotherCitizenship
Indicates that the mother of a given person holds citizenship in a specified country or jurisdiction.
-
D.
laterCitizenship
chosen
Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
-
E.
hasAdoptiveNationality
Indicates that an entity holds a nationality acquired through adoption rather than by birth or original citizenship.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8e44188190840cd23d380bf23d |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.