Triple
T20677865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Willoughby Nason |
E508208
|
entity |
| Predicate | coDirected |
P7732
|
FINISHED |
| Object |
LuLaRich
LuLaRich is a documentary series that investigates the rise and controversial business practices of the multilevel marketing company LuLaRoe.
|
E1443957
|
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: LuLaRich | Statement: [Julia Willoughby Nason, coDirected, LuLaRich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LuLaRich Context triple: [Julia Willoughby Nason, coDirected, LuLaRich]
-
A.
La La
"La La" is a pop-rock song by American singer Ashlee Simpson from her debut album "Autobiography," known for its edgy lyrics and rebellious tone.
-
B.
Lucka
Lucka is a small town in eastern Germany that forms part of the broader Leipzig metropolitan area.
-
C.
Lala
Lala is a small town in the Hailakandi district of the Indian state of Assam.
-
D.
Lala
Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
-
E.
Lola Loud
Lola Loud is a young, beauty pageant-obsessed member of the Loud family in the animated series "The Loud House," known for her pink dresses, tiara, and dramatic, competitive personality.
- 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: LuLaRich Triple: [Julia Willoughby Nason, coDirected, LuLaRich]
Generated description
LuLaRich is a documentary series that investigates the rise and controversial business practices of the multilevel marketing company LuLaRoe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LuLaRich Target entity description: LuLaRich is a documentary series that investigates the rise and controversial business practices of the multilevel marketing company LuLaRoe.
-
A.
La La
"La La" is a pop-rock song by American singer Ashlee Simpson from her debut album "Autobiography," known for its edgy lyrics and rebellious tone.
-
B.
Lucka
Lucka is a small town in eastern Germany that forms part of the broader Leipzig metropolitan area.
-
C.
Lala
Lala is a small town in the Hailakandi district of the Indian state of Assam.
-
D.
Lala
Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
-
E.
Lola Loud
Lola Loud is a young, beauty pageant-obsessed member of the Loud family in the animated series "The Loud House," known for her pink dresses, tiara, and dramatic, competitive personality.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea354f0819094e9ee8d3adaa221 |
completed | April 21, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd6aa744819098c785d7195cdd2e |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d176c3408190ab1d630fd8da2fc2 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d206e6a081909f76b190c8dbc55d |
completed | May 16, 2026, 8:22 p.m. |
Created at: April 16, 2026, 11:44 a.m.