Triple
T22546409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria Mildred DeHaven |
E557440
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gloria Mildred DeHaven |
—
|
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: Gloria Mildred DeHaven | Statement: [Gloria Mildred DeHaven, name, Gloria Mildred DeHaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloria Mildred DeHaven Context triple: [Gloria Mildred DeHaven, name, Gloria Mildred DeHaven]
-
A.
Gloria Mildred DeHaven
chosen
Gloria Mildred DeHaven was an American actress and singer best known for her roles in Hollywood musicals of the 1940s and 1950s.
-
B.
Walda Winchell
Walda Winchell is the daughter of influential American newspaper and radio gossip columnist Walter Winchell.
-
C.
Marjorie Calvin
Marjorie Calvin is the daughter of Nobel Prize–winning American chemist Melvin Calvin, renowned for his work on the Calvin cycle in photosynthesis.
-
D.
Lucille Bliss
Lucille Bliss was an American voice actress best known for her work in classic animated films and television, including early Disney productions and the original Smurfs series.
-
E.
Marguerite Lauer
Marguerite Lauer was the wife of renowned French Egyptologist Jean-Philippe Lauer.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f35b9888190b4e1b50d5097b211 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.