Triple
T35642636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippe Curtius |
E1029912
|
entity |
| Predicate | relativeByAdoptionOrGuardianship |
P207082
|
FINISHED |
| Object | Marie Tussaud |
E302282
|
NE FINISHED |
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: Marie Tussaud | Statement: [Philippe Curtius, relativeByAdoptionOrGuardianship, Marie Tussaud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeByAdoptionOrGuardianship Context triple: [Philippe Curtius, relativeByAdoptionOrGuardianship, Marie Tussaud]
-
A.
adoptiveParent
Indicates that one entity is the legally recognized parent of another through adoption rather than biological descent.
-
B.
adoptedUnder
Indicates that something has been formally accepted, implemented, or brought into effect according to a specified rule, procedure, or authority.
-
C.
adoptiveRelationshipType
Indicates the specific nature of an adoptive relationship that exists between two entities (e.g., adoptive parent, adopted child).
-
D.
adoptiveChild
Indicates that one entity is the child of another through legal adoption rather than biological descent.
-
E.
adoptedThrough
Indicates that an adoption relationship was established or carried out by means of a specified process, channel, or intermediary.
- 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_69f76e087bdc8190a4794bf9c0bd7634 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387d013860819080c90017c6a2be15 |
completed | June 22, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:05 p.m.