Triple
T36198023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Gregson |
E1047180
|
entity |
| Predicate | relationshipStatusWithEdith |
P204784
|
FINISHED |
| Object | secret engagement |
—
|
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: secret engagement | Statement: [Michael Gregson, relationshipStatusWithEdith, secret engagement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipStatusWithEdith Context triple: [Michael Gregson, relationshipStatusWithEdith, secret engagement]
-
A.
relationshipToEdd
Indicates the specific type of relationship or connection that an entity has to Edd.
-
B.
relationshipStatusWithMeredith
Indicates the type or state of the relationship that an entity currently has with Meredith.
-
C.
relationshipToEdwardBloom
Indicates the nature or type of connection an entity has to Edward Bloom, such as familial, social, or other relational ties.
-
D.
relationshipWithEdmund
Indicates that there exists some form of relationship or connection involving the entity Edmund.
-
E.
relationshipTypeWithErica
Indicates the specific nature or category of relationship that an entity has with Erica.
- 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.