Triple
T33655920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Know Him |
E862219
|
entity |
| Predicate | originalBroadwayPerformerOfKingGeorgeIII |
P4737
|
FINISHED |
| Object | Jonathan Groff |
E173082
|
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: Jonathan Groff | Statement: [I Know Him, originalBroadwayPerformerOfKingGeorgeIII, Jonathan Groff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBroadwayPerformerOfKingGeorgeIII Context triple: [I Know Him, originalBroadwayPerformerOfKingGeorgeIII, Jonathan Groff]
-
A.
originalBroadwayStar
chosen
Indicates that the subject was a member of the original Broadway cast in the specified role or production.
-
B.
reignAsKingOfTheGeorgiansStart
Indicates the time at which an individual begins their reign as king over the Georgians.
-
C.
portraysKingRichardAs
Indicates that a subject represents or depicts King Richard in a particular manner or characterization.
-
D.
broadwayLeadActor
Indicates that the subject is the principal or starring actor in a Broadway production associated with the object.
-
E.
performerRoleOfEltonJohn
Indicates that the specified role is one that Elton John performs or has performed in relation to another entity or event.
- F. None of above.
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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a03433dd64c8190ab620709153b6278 |
completed | May 12, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a366e80d938819098562c29f5d15884 |
completed | June 20, 2026, 10:42 a.m. |
| PD | Predicate disambiguation | batch_6a034107e53881909127bac98cac3429 |
completed | May 12, 2026, 3:02 p.m. |
Created at: May 1, 2026, 1:42 a.m.