Triple
T24489912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1999 Pan American Games |
E617612
|
entity |
| Predicate | hostCountryFlagBearer |
P156509
|
FINISHED |
| Object | Marnie McBean |
—
|
NE NERFINISHED |
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: Marnie McBean | Statement: [1999 Pan American Games, hostCountryFlagBearer, Marnie McBean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostCountryFlagBearer Context triple: [1999 Pan American Games, hostCountryFlagBearer, Marnie McBean]
-
A.
hostCityFlagBearer
Indicates that the referenced flag bearer is representing the host city (or host nation) for a particular event or ceremony.
-
B.
hasFlagCountry
Indicates that a country is the one whose national flag is associated with or used by a given entity.
-
C.
olympicFlagBearerForHostNation
Indicates that an individual serves as the official flag bearer for the host nation’s delegation at the Olympic Games.
-
D.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
E.
officialFlagOf
Indicates that one entity is the formally recognized flag that represents another entity (such as a country, organization, or region).
- F. None of above. chosen
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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:22 a.m.