Triple
T2424895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James A. Haslam II |
E53502
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Bill Haslam |
E154902
|
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: Bill Haslam | Statement: [James A. Haslam II, hasChild, Bill Haslam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Haslam Context triple: [James A. Haslam II, hasChild, Bill Haslam]
-
A.
Bill Haslam
chosen
Bill Haslam is an American businessman and Republican politician who served as the 49th governor of Tennessee from 2011 to 2019.
-
B.
Ryan Gravel
Ryan Gravel is an urban planner and designer best known for conceiving the Atlanta BeltLine, a transformative redevelopment and transit project encircling Atlanta.
-
C.
Bill Rasmussen
Bill Rasmussen is an American sports broadcasting executive best known for creating ESPN, the first 24-hour cable sports television network.
-
D.
Angus King
Angus King is an American politician and attorney serving as an independent U.S. Senator from Maine.
-
E.
Jack Cummings
Jack Cummings was an American film producer best known for his work on classic MGM musicals in the mid-20th century.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99a773c819092d5f3c297b83887 |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf61088481909d79e822e4071456 |
completed | March 9, 2026, 12:38 p.m. |
Created at: March 6, 2026, 9:42 p.m.