Triple
T37840828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Hartnell (vintage gown loaned by Queen Elizabeth II) |
E943469
|
entity |
| Predicate | originalWearer |
P204418
|
FINISHED |
| Object | Queen Elizabeth II |
E786
|
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: Queen Elizabeth II | Statement: [Norman Hartnell (vintage gown loaned by Queen Elizabeth II), originalWearer, Queen Elizabeth II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWearer Context triple: [Norman Hartnell (vintage gown loaned by Queen Elizabeth II), originalWearer, Queen Elizabeth II]
-
A.
primaryWearer
Indicates that one entity is the main or principal user or wearer of another entity (such as an item or garment).
-
B.
laterWearer
Indicates that one entity is a subsequent or later wearer/user of an item previously worn or used by another entity.
-
C.
wearerMayRetain
Indicates that the wearer is allowed to keep or continue possessing the item in question.
-
D.
probableOriginalOwner
Indicates that one entity is likely, though not certainly, the original owner or possessor of another entity.
-
E.
temporarilyWornBy
Indicates that an item is being worn by an entity for a limited or non-permanent period of time.
- F. None of above. chosen
Provenance (5 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40fb8a7f1081908705b7d1507bb05e |
completed | June 28, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.