Triple
T12237649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenna Goodacre |
E291639
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Jill Goodacre |
E512467
|
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: Jill Goodacre | Statement: [Glenna Goodacre, child, Jill Goodacre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jill Goodacre Context triple: [Glenna Goodacre, child, Jill Goodacre]
-
A.
Jill Goodacre
chosen
Jill Goodacre is an American former Victoria's Secret model and actress who gained prominence in the late 1980s and early 1990s.
-
B.
Gillian Crampton Smith
Gillian Crampton Smith is a pioneering interaction design educator and researcher known for shaping the field through influential academic programs and leadership in human-computer interaction design.
-
C.
Gail Goodrich
Gail Goodrich is a Hall of Fame American basketball guard best known for starring on UCLA’s championship teams in the 1960s and later winning an NBA title with the Los Angeles Lakers.
-
D.
Rosemary Forsyth
Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
-
E.
Deborah Everton
Deborah Everton is an actress known for her role in the 1981 thriller film "Blow Out."
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb45340819093365f8efdf85f75 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab19a4c8190b4692d7ab0d02a12 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.