Triple
T10373232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Ladd Jr. |
E244435
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Alana Ladd |
E780064
|
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: Alana Ladd | Statement: [Alan Ladd Jr., sibling, Alana Ladd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alana Ladd Context triple: [Alan Ladd Jr., sibling, Alana Ladd]
-
A.
Alana Ladd
chosen
Alana Ladd was an American actress and the daughter of film star Alan Ladd, known for appearing in several movies and television productions during the 1950s and 1960s.
-
B.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
C.
Lana Morris
Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
-
D.
Danielle Spencer
Danielle Spencer is an Australian actress and singer-songwriter best known for her work in film and music as well as her long-term relationship with actor Russell Crowe.
-
E.
Joanna Kerns
Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97f8a148190bb04996132cd464a |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9881d84588190a9117064a0950ac1 |
completed | April 10, 2026, 11:30 p.m. |
Created at: April 6, 2026, 12:02 p.m.