Triple
T36619117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Hastings |
E903683
|
entity |
| Predicate | relationshipWithRichardIII |
P204967
|
FINISHED |
| Object | initially trusting |
—
|
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: initially trusting | Statement: [Lord Hastings, relationshipWithRichardIII, initially trusting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithRichardIII Context triple: [Lord Hastings, relationshipWithRichardIII, initially trusting]
-
A.
relationshipToAnneBoleyn
Indicates the specific familial, marital, or social connection that an entity has to Anne Boleyn.
-
B.
relationTypeToHenryVIII
Indicates the specific type of relationship an entity has to Henry VIII (e.g., familial, political, or social connection).
-
C.
relationshipToCharlesV
Indicates the specific familial or social relationship that one entity has to Charles V.
-
D.
relationshipToKingHamlet
Indicates the specific familial or social relationship an entity has to King Hamlet.
-
E.
relationshipWithDukes
Indicates that an entity has a specified type of relationship or association with one or more dukes.
- 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
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, 4:11 p.m.