Triple
T33258505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romeo and Juliet with Margot Fonteyn |
E851444
|
entity |
| Predicate | hasNotablePartnership |
P14988
|
FINISHED |
| Object | Margot Fonteyn and Rudolf Nureyev |
E299623
|
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: Margot Fonteyn and Rudolf Nureyev | Statement: [Romeo and Juliet with Margot Fonteyn, hasNotablePartnership, Margot Fonteyn and Rudolf Nureyev]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotablePartnership Context triple: [Romeo and Juliet with Margot Fonteyn, hasNotablePartnership, Margot Fonteyn and Rudolf Nureyev]
-
A.
hasNotableFranchisePartner
Indicates that an entity has a significant or prominent partner involved in a franchise relationship with it.
-
B.
notablePartner
chosen
Indicates that two entities are or have been significant partners, typically in a prominent or noteworthy personal or professional relationship.
-
C.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
D.
hasPartnershipRole
Indicates that an entity holds a specific role or function within a partnership relationship with another entity.
-
E.
hasNotableCompany
Indicates that an entity is associated with or linked to a company that is considered notable or significant in some context.
- 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_69f34963135c819084e7f1d483421f00 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a019d1407588190b3b9b83fca2e61fe |
completed | May 11, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3543115c80819089170351dd0afe21 |
completed | June 19, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_6a019c760e3081909cfe9c0603727e48 |
completed | May 11, 2026, 9:08 a.m. |
Created at: May 1, 2026, 1:31 a.m.