Triple
T17636519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hagg Lake |
E430106
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Henry Hagg
Henry Hagg was a local figure significant enough in Oregon’s Washington County history that the reservoir now known as Hagg Lake was named in his honor.
|
E1291628
|
NE FINISHED |
How this triple was built (4 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: Henry Hagg | Statement: [Hagg Lake, namedAfter, Henry Hagg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Hagg Context triple: [Hagg Lake, namedAfter, Henry Hagg]
-
A.
Frank Hagney
Frank Hagney was an Australian-born character actor known for his numerous supporting roles in American films during the early to mid-20th century.
-
B.
Leon Barmore
Leon Barmore is a legendary women's college basketball coach best known for leading the Louisiana Tech Lady Techsters to national prominence and multiple NCAA championships.
-
C.
Cliff Hagan
Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
-
D.
Eugene Worley
Eugene Worley was an American jurist who served as a prominent judge on the United States Court of Customs and Patent Appeals.
-
E.
Charles Horvath
Charles Horvath was an American actor and stuntman known for his rugged roles in Westerns and action films.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Henry Hagg Triple: [Hagg Lake, namedAfter, Henry Hagg]
Generated description
Henry Hagg was a local figure significant enough in Oregon’s Washington County history that the reservoir now known as Hagg Lake was named in his honor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Henry Hagg Target entity description: Henry Hagg was a local figure significant enough in Oregon’s Washington County history that the reservoir now known as Hagg Lake was named in his honor.
-
A.
Frank Hagney
Frank Hagney was an Australian-born character actor known for his numerous supporting roles in American films during the early to mid-20th century.
-
B.
Leon Barmore
Leon Barmore is a legendary women's college basketball coach best known for leading the Louisiana Tech Lady Techsters to national prominence and multiple NCAA championships.
-
C.
Cliff Hagan
Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
-
D.
Eugene Worley
Eugene Worley was an American jurist who served as a prominent judge on the United States Court of Customs and Patent Appeals.
-
E.
Charles Horvath
Charles Horvath was an American actor and stuntman known for his rugged roles in Westerns and action films.
- F. None of above. chosen
Provenance (5 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46de0ad988190b1a2c0bff69eb9f1 |
completed | April 19, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c4ae43881909727b532545173e9 |
completed | May 12, 2026, 11:17 a.m. |
| NEDg | Description generation | batch_6a030ce6e0248190854acf6ad772cb08 |
completed | May 12, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030d4d117c8190a115b86df7990087 |
completed | May 12, 2026, 11:21 a.m. |
Created at: April 10, 2026, 5:52 a.m.