Triple
T34639927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melian the Maia |
E889527
|
entity |
| Predicate | parentOfHalfMaia |
P195158
|
FINISHED |
| Object | Lúthien |
—
|
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: Lúthien | Statement: [Melian the Maia, parentOfHalfMaia, Lúthien]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentOfHalfMaia Context triple: [Melian the Maia, parentOfHalfMaia, Lúthien]
-
A.
parentOfTwins
Indicates that one entity is the parent of two siblings who are twins.
-
B.
motherType
Indicates the specific category or role of motherhood that one entity has in relation to another (e.g., biological, adoptive, step).
-
C.
motherOfMedeius
Indicates a parental relationship where the subject is the mother of Medeius.
-
D.
paternalHalfSibling
Indicates that two individuals share exactly one biological parent (the father) but have different mothers.
-
E.
motherBasedOn
Indicates a maternal relationship where one entity is considered the mother of another based on inferred, indirect, or non-biological evidence or criteria.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
| PDg | Predicate description generation | batch_69fda945e1e08190bf923fcd4d2c548a |
completed | May 8, 2026, 9:13 a.m. |
Created at: May 1, 2026, 2:04 a.m.