Triple
T6341319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Jindal |
E142631
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jindal |
E586204
|
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: Jindal | Statement: [Bobby Jindal, familyName, Jindal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jindal Context triple: [Bobby Jindal, familyName, Jindal]
-
A.
Bobby Jindal
Bobby Jindal is an American politician who served as the governor of Louisiana and was a prominent Republican figure and presidential candidate.
-
B.
Piyush Jindal
chosen
Piyush "Bobby" Jindal is an American politician who served as the governor of Louisiana and was a prominent Republican figure in the early 21st century.
-
C.
Hoeven
Hoeven is a village in the Dutch province of North Brabant, known for its historic abbey and rural character.
-
D.
Tom Rice
Tom Rice is a film producer known for his work on independent movies, including the family dramedy "The Hollars."
-
E.
Mitch Daniels
Mitch Daniels is an American politician and academic leader who served as the 49th governor of Indiana and later as president of Purdue University.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0674445748190bce2d638048be77c |
completed | March 22, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d4656f48190a4725fdeb2dd255d |
completed | March 27, 2026, 7:09 a.m. |
Created at: March 22, 2026, 4:30 p.m.