Triple
T13392903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irving Caesar |
E319619
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Irving Caesar |
E319619
|
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: Irving Caesar | Statement: [Irving Caesar, name, Irving Caesar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Irving Caesar Context triple: [Irving Caesar, name, Irving Caesar]
-
A.
Irving Caesar
chosen
Irving Caesar was an American lyricist best known for writing the lyrics to classic songs such as "Tea for Two" and "Swanee."
-
B.
Irving Cummings
Irving Cummings was an American film director and actor active during the early to mid-20th century, known for directing numerous Hollywood features including musicals and comedies.
-
C.
Irving Townsend
Irving Townsend was an American record producer and Columbia Records executive best known for overseeing landmark jazz recordings, including Miles Davis’s "Kind of Blue."
-
D.
Willard Motley
Willard Motley was an African American novelist best known for his gritty depictions of urban life in mid-20th-century Chicago.
-
E.
Irving Bacon
Irving Bacon was an American character actor and comedian known for his prolific work in early 20th-century film and television, often appearing in supporting and bit roles.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72693a440819095a3136d8f49680a |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:34 p.m.