Triple
T16248677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tippi Hedren |
E394440
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hedren |
E394440
|
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: Hedren | Statement: [Tippi Hedren, familyName, Hedren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hedren Context triple: [Tippi Hedren, familyName, Hedren]
-
A.
Tippi Hedren
chosen
Tippi Hedren is an American actress and former fashion model best known for her leading role in Alfred Hitchcock’s classic thriller "The Birds."
-
B.
Grace Hiller
Grace Hiller was the wife of Theophilus Eaton, an early colonial leader and co-founder of the New Haven Colony in 17th-century New England.
-
C.
Hedy McDodd
Hedy McDodd is a young Whoville resident from Dr. Seuss’s "Horton Hears a Who!" and its adaptations, known as one of Mayor Ned McDodd’s many children.
-
D.
Lauren Hutton
Lauren Hutton is an American model and actress known for her gap-toothed smile and pioneering status as one of the first supermodels, as well as for her roles in films such as "American Gigolo."
-
E.
Marilyn Maxwell
Marilyn Maxwell was an American actress and singer best known for her roles in 1940s–1950s Hollywood films and for her work in radio and USO entertainment.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24594f23c8190bd59fcb2585cb5e3 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f8ca4508190a8ed7a9159dfb551 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:04 a.m.