Triple
T29601468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orson Welles as Sir John Falstaff |
E754458
|
entity |
| Predicate | relationshipTypeWithPrinceHal |
P136436
|
FINISHED |
| Object | mentor |
—
|
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: mentor | Statement: [Orson Welles as Sir John Falstaff, relationshipTypeWithPrinceHal, mentor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithPrinceHal Context triple: [Orson Welles as Sir John Falstaff, relationshipTypeWithPrinceHal, mentor]
-
A.
relationshipToPrinceHal
chosen
Indicates the specific familial, social, or interpersonal connection that an entity has to Prince Hal.
-
B.
relationshipTypeWithPrinceChar
Indicates the specific kind or nature of relationship an entity has with the prince character.
-
C.
relationshipToFalstaff
Indicates the specific interpersonal or social connection that one entity has to Falstaff.
-
D.
relationTypeToHenryVIII
Indicates the specific type of relationship an entity has to Henry VIII (e.g., familial, political, or social connection).
-
E.
KingsmenRelation
Indicates a relationship in which one entity is associated with, belongs to, or is affiliated with the group or organization referred to as "Kingsmen."
- F. None of above.
Provenance (3 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a0186cde2fc819080d7c06503dcc479 |
completed | May 11, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_6a0183ff6d34819080c8ad7c11611a36 |
completed | May 11, 2026, 7:23 a.m. |
Created at: April 28, 2026, 6:22 p.m.