Triple
T14526494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cree Summer |
E340790
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Lili Francks |
E908255
|
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: Lili Francks | Statement: [Cree Summer, parent, Lili Francks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lili Francks Context triple: [Cree Summer, parent, Lili Francks]
-
A.
Lili Francks
chosen
Lili Francks is a Canadian actress and singer, also known as the mother of actor Cree Summer and for her work in film, television, and voice acting.
-
B.
Lilly Greenfield
Lilly Greenfield is the daughter of American actor Max Greenfield.
-
C.
Lila Leslie
Lila Leslie was a silent film actress active in the early 20th century, known for her roles in American dramas and melodramas.
-
D.
Lilli Palmer
Lilli Palmer was a German-born British actress and singer renowned for her sophisticated performances in European and Hollywood films and on stage from the 1930s through the 1970s.
-
E.
Lila Schwarzenberg
Lila Schwarzenberg is an Austrian journalist, philanthropist, and former Czech countess known for her cultural and charitable work in Europe.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda90e1778819095f5ac8848120098 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:22 a.m.