Triple
T20333416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucerne (her mother) |
E492540
|
entity |
| Predicate | isMaternalFigureOf |
P139734
|
FINISHED |
| Object | Ren |
—
|
NE NERFINISHED |
How this triple was built (3 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: Ren | Statement: [Lucerne (her mother), isMaternalFigureOf, Ren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ren Context triple: [Lucerne (her mother), isMaternalFigureOf, Ren]
-
A.
Ren
Ren is a central character in Margaret Atwood’s dystopian MaddAddam trilogy, known for her experiences as a sex worker and survivor in a bioengineered, post-apocalyptic world.
-
B.
Ren
Ren is a short, informal diminutive of the given name Lauren.
-
C.
Ren
Ren is a Chinese surname most prominently associated with Ren Zhengfei, the founder of Huawei.
-
D.
Ren
chosen
Ren is the child of Lucerne, a character likely situated within a fictional or narrative setting where family relationships are central to the story.
-
E.
REN
REN is a blockchain-based project and protocol focused on enabling cross-chain liquidity and interoperability between different cryptocurrency networks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMaternalFigureOf Context triple: [Lucerne (her mother), isMaternalFigureOf, Ren]
-
A.
isMotherOf
Indicates that one entity is the female parent who has given birth to or legally/ socially parents the other entity.
-
B.
motherIs
Indicates that one entity is the mother (biological or adoptive) of another entity.
-
C.
motherWas
Indicates that one entity was the mother (biological or adoptive) of another entity at some time in the past.
-
D.
heirMotherOf
Indicates that one entity is the mother of another entity who is designated as an heir.
-
E.
motherOfNotablePersonAssociated
Indicates that one entity is the mother of another entity who is a notable or well-known person associated with a given context.
- F. None of above. chosen
Provenance (4 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e94e2481908898e0a3513e1209 |
completed | April 20, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:22 a.m.