Triple
T34753484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonia Ganguli |
E1001849
|
entity |
| Predicate | belongsToFictionalFamily |
P73825
|
FINISHED |
| Object |
Ganguli family
The Ganguli family is the central Bengali-American immigrant family depicted in Jhumpa Lahiri’s novel "The Namesake," exploring themes of identity, assimilation, and generational conflict.
|
E2112265
|
NE FINISHED |
How this triple was built (3 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: Ganguli family | Statement: [Sonia Ganguli, belongsToFictionalFamily, Ganguli family]
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: Ganguli family Triple: [Sonia Ganguli, belongsToFictionalFamily, Ganguli family]
Generated description
The Ganguli family is the central Bengali-American immigrant family depicted in Jhumpa Lahiri’s novel "The Namesake," exploring themes of identity, assimilation, and generational conflict.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToFictionalFamily Context triple: [Sonia Ganguli, belongsToFictionalFamily, Ganguli family]
-
A.
hasFictionalFamilyMember
Indicates that one entity has another entity as a family member within a fictional or imagined context.
-
B.
hasFictionalFamily
chosen
Indicates that an entity is associated with a family that exists only within a fictional or imaginary context.
-
C.
ownedByFictionalFamily
Indicates that something is possessed or held in ownership by a fictional family within a narrative or fictional universe.
-
D.
familyOf
Indicates a familial relationship exists between the entities, such as by blood, marriage, or adoption.
-
E.
hasFictionalSibling
Indicates that one entity is a fictional character who is a sibling of another entity.
- F. None of above.
Provenance (6 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff63e6b61081909c648bf0ff279481 |
completed | May 9, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37662e47a4819087f1066bb407ca83 |
completed | June 21, 2026, 4:18 a.m. |
| NEDg | Description generation | batch_6a37670a06888190a62323cca2fb2708 |
completed | June 21, 2026, 4:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a376902593881908e9bdcd5d3231026 |
completed | June 21, 2026, 4:30 a.m. |
| PD | Predicate disambiguation | batch_69ff6381867881908ae0545df4b71df5 |
completed | May 9, 2026, 4:40 p.m. |
Created at: May 3, 2026, 3:59 p.m.