Triple
T4198563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petit family |
E86010
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Rattanbai Petit |
E177629
|
NE 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: Rattanbai Petit | Statement: [Petit family, hasMember, Rattanbai Petit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rattanbai Petit Context triple: [Petit family, hasMember, Rattanbai Petit]
-
A.
Rattanbai
chosen
Rattanbai was the wife of Muhammad Ali Jinnah, the founder of Pakistan, and the mother of their only child, Dina Wadia.
-
B.
Nonette
Nonette is a small river in northern France that flows through the Oise department and serves as one of its tributaries.
-
C.
Nanuya Levu
Nanuya Levu is a small, tropical Fijian island in the Yasawa archipelago, known for its secluded beaches and use as a filming location for the movie "The Blue Lagoon."
-
D.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
E.
Micheline
Micheline is a feminine given name of French origin, commonly used in French-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af036243b4819097efe6b796823cd9 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a12c11481908033229ecf90c9f9 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:48 p.m.