Triple
T13575025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Roberts Lake |
E324258
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ray Roberts |
E324258
|
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: Ray Roberts | Statement: [Ray Roberts Lake, namedAfter, Ray Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Roberts Context triple: [Ray Roberts Lake, namedAfter, Ray Roberts]
-
A.
Ray Roberts
chosen
Ray Roberts was a Texas politician whose public service and regional influence led to a major state reservoir, Ray Roberts Lake, being named in his honor.
-
B.
Don Baylor
Don Baylor was an American Major League Baseball slugger and later manager, renowned for his power hitting, durability, and leadership on and off the field.
-
C.
Lamar Johnson
Lamar Johnson is a Canadian actor known for roles in film and television, including his appearance in HBO's adaptation of "The Last of Us."
-
D.
Dinty Moore
Dinty Moore is a long-running American canned beef stew brand known for its hearty, ready-to-eat meals.
-
E.
Joe L. Barton
Joe L. Barton is an American Republican politician who served for decades in the U.S. House of Representatives from Texas and was known for his influential role on energy policy.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02b1f108190a12af382d1de70bb |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8bda0c81909afd4b9ef9605cd3 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:48 p.m.