Triple
T15336019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal Smith |
E366667
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hal Smith |
E366667
|
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: Hal Smith | Statement: [Hal Smith, name, Hal Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal Smith Context triple: [Hal Smith, name, Hal Smith]
-
A.
Hal Smith
chosen
Hal Smith was an American character actor and voice actor best known for his work in classic cartoons and for playing Otis Campbell on "The Andy Griffith Show."
-
B.
John G. Smith
John G. Smith is a music producer best known for his work on the project or artist known as King of Stage.
-
C.
William F. Smith
William F. Smith was an individual interred at Laurel Hill Cemetery in Philadelphia, a historic burial ground for many notable figures.
-
D.
Frank K. Edmondson
Frank K. Edmondson was an American astronomer and educator known for his contributions to galactic structure studies and his influential role in advancing astronomy education and professional organizations in the United States.
-
E.
Ivan F. Simpson
Ivan F. Simpson was a British character actor of the early 20th century, known for his supporting roles in both stage productions and silent films.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01f11b88819089342e8b088bc95e |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.