Triple
T8660821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yi people |
E205542
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Lolo
Lolo is an older name for the Yi people, an ethnic minority primarily living in southwestern China with a distinct language and cultural traditions.
|
E748953
|
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: Lolo | Statement: [Yi people, alsoKnownAs, Lolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lolo Context triple: [Yi people, alsoKnownAs, Lolo]
-
A.
Lolo
Lolo is the given name of Lolo Soetoro, the Indonesian stepfather of former U.S. President Barack Obama.
-
B.
Lolo
Lolo is a French comedy film directed by and starring Julie Delpy, centered on the chaotic consequences of an overprotective son sabotaging his mother's new relationship.
-
C.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
D.
Lyonne
Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
-
E.
Laiolo
Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
- 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: Lolo Triple: [Yi people, alsoKnownAs, Lolo]
Generated description
Lolo is an older name for the Yi people, an ethnic minority primarily living in southwestern China with a distinct language and cultural traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lolo Target entity description: Lolo is an older name for the Yi people, an ethnic minority primarily living in southwestern China with a distinct language and cultural traditions.
-
A.
Lolo
Lolo is the given name of Lolo Soetoro, the Indonesian stepfather of former U.S. President Barack Obama.
-
B.
Lolo
Lolo is a French comedy film directed by and starring Julie Delpy, centered on the chaotic consequences of an overprotective son sabotaging his mother's new relationship.
-
C.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
D.
Lyonne
Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
-
E.
Laiolo
Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48701c748190a5f7bd9e2da0e5e9 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccfda1dc8190a3b93b1c7e813f33 |
completed | April 2, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69cece8d530081908f5a52d5d76bd414 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf7c66308190b9fb87bc0ab510a8 |
completed | April 2, 2026, 8:20 p.m. |
Created at: March 30, 2026, 6:30 p.m.