Triple
T11887681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lili Simmons |
E282829
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object |
Natalie James
Natalie James is a fictional character portrayed by actress Lili Simmons.
|
E953344
|
NE FINISHED |
How this triple was built (4 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: Natalie James | Statement: [Lili Simmons, hasRole, Natalie James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalie James Context triple: [Lili Simmons, hasRole, Natalie James]
-
A.
Natalie Brown
Natalie Brown is the younger sister of Louise Brown, the world's first baby conceived via in vitro fertilization.
-
B.
Natalie Kingston
Natalie Kingston was an American film actress of the silent and early sound era, known for her roles in dramas and adventure films of the late 1920s.
-
C.
Natalie Evans
Natalie Evans was the wife of Pulitzer Prize–winning American editorial cartoonist Bill Mauldin.
-
D.
Natalie Williams
Natalie Williams is a former American professional basketball player and three-time WNBA All-Star who starred in college at UCLA before enjoying a successful pro and international career.
-
E.
Natalie Lawson
Natalie Lawson is a fictional character portrayed by Canadian actress Torri Higginson, best known from her work in television drama.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Natalie James Triple: [Lili Simmons, hasRole, Natalie James]
Generated description
Natalie James is a fictional character portrayed by actress Lili Simmons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Natalie James Target entity description: Natalie James is a fictional character portrayed by actress Lili Simmons.
-
A.
Natalie Brown
Natalie Brown is the younger sister of Louise Brown, the world's first baby conceived via in vitro fertilization.
-
B.
Natalie Kingston
Natalie Kingston was an American film actress of the silent and early sound era, known for her roles in dramas and adventure films of the late 1920s.
-
C.
Natalie Evans
Natalie Evans was the wife of Pulitzer Prize–winning American editorial cartoonist Bill Mauldin.
-
D.
Natalie Williams
Natalie Williams is a former American professional basketball player and three-time WNBA All-Star who starred in college at UCLA before enjoying a successful pro and international career.
-
E.
Natalie Lawson
Natalie Lawson is a fictional character portrayed by Canadian actress Torri Higginson, best known from her work in television drama.
- F. None of above. chosen
Provenance (5 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a13370819086386fecb99e4f0b |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417e919548190acbc248879f957ec |
completed | May 1, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69f41f1abaa481908b8a6873a07af848 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f422778a10819093bc2473ef30fe71 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.