Triple
T17290990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ennis-Hill |
E419782
|
entity |
| Predicate | bearerMajorTitle |
P20947
|
FINISHED |
| Object | Olympic gold medallist in heptathlon |
—
|
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: Olympic gold medallist in heptathlon | Statement: [Ennis-Hill, bearerMajorTitle, Olympic gold medallist in heptathlon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bearerMajorTitle Context triple: [Ennis-Hill, bearerMajorTitle, Olympic gold medallist in heptathlon]
-
A.
bearerTitle
Indicates that one entity holds or is designated by a specific formal title associated with a role, rank, or position.
-
B.
hasMajorTitle
chosen
Indicates that an entity holds or has been awarded a significant, high-prestige title or championship.
-
C.
recognizedAsMajorTitleAlongside
Indicates that one work, achievement, or honor is acknowledged as a principal or flagship title together with another, placing them on the same level of major significance.
-
D.
titleBasis
Indicates that one entity serves as the basis or source material for the title or name of another entity.
-
E.
eraTitleWith
Indicates a relationship where a specific era is associated with or designated by a particular title.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437837d048190949b947f5437636d |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:40 a.m.