Triple
T17833838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boyd Langton |
E445330
|
entity |
| Predicate | relationshipWithAdelleDeWitt |
P129361
|
FINISHED |
| Object | professional |
—
|
LITERAL 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: professional | Statement: [Boyd Langton, relationshipWithAdelleDeWitt, professional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithAdelleDeWitt Context triple: [Boyd Langton, relationshipWithAdelleDeWitt, professional]
-
A.
relationshipToDeloris
Indicates the specific type of personal, familial, or social relationship that one entity has with the entity named Deloris.
-
B.
relationshipToBaudelaires
Indicates the type of personal or familial connection an entity has to the Baudelaires.
-
C.
relationshipToDésirée
Indicates the specific type of personal or social relationship that one entity has to Désirée.
-
D.
relationshipToTinaBordereau
Indicates the specific type of personal or professional relationship an entity has with Tina Bordereau.
-
E.
relationshipToAlcee
Indicates the specific type of relationship or connection that an entity has to Alcee.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2635a081909d4d48d22e260f8e |
completed | April 19, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e266888190ae976b4b7d5b886f |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3f022ec448190a9bf191be1c5f570 |
completed | April 18, 2026, 8:57 p.m. |
Created at: April 10, 2026, 10:15 a.m.