Triple
T21365452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June Travis |
E526897
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | June Travis |
—
|
NE NERFINISHED |
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: June Travis | Statement: [June Travis, name, June Travis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: June Travis Context triple: [June Travis, name, June Travis]
-
A.
June Travis
chosen
June Travis was an American film actress active primarily in the 1930s and 1940s, known for her roles in Hollywood studio productions.
-
B.
Trina O'Dell
Trina O'Dell is a central child protagonist in R.L. Stine’s Goosebumps book "Night of the Living Dummy III," known for confronting the evil ventriloquist dummy Slappy.
-
C.
Susan Traylor
Susan Traylor is an American actress and filmmaker known for her work in independent cinema and character-driven roles.
-
D.
Tricia McAlpin
Tricia McAlpin is a television producer and writer known for her work as an executive producer on the comedy series "Blunt Talk."
-
E.
Nancy Travis
Nancy Travis is an American actress known for her work in film and television, including prominent roles in series like "The Kominsky Method" and "Last Man Standing."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06ec4208190b9ed3484afd85852 |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:09 p.m.