Triple
T18454801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuel |
E450874
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Lolo |
—
|
NE NERFINISHED |
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: Lolo | Statement: [Manuel, hasVariant, Lolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lolo Context triple: [Manuel, hasVariant, Lolo]
-
A.
Lolo
chosen
Lolo is the given name of Lolo Soetoro, the Indonesian stepfather of former U.S. President Barack Obama.
-
B.
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.
-
C.
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.
-
D.
Loralai
Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
-
E.
Altoon
Altoon is a surname most notably associated with American painter John Altoon, known for his abstract and expressionist works.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264b200c8190be2e79ca5ea0b082 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:31 a.m.