Triple
T27298289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry de Bromhead |
E688827
|
entity |
| Predicate | wonQueenMotherChampionChaseWith |
P162316
|
FINISHED |
| Object | Put The Kettle On |
—
|
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: Put The Kettle On | Statement: [Henry de Bromhead, wonQueenMotherChampionChaseWith, Put The Kettle On]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonQueenMotherChampionChaseWith Context triple: [Henry de Bromhead, wonQueenMotherChampionChaseWith, Put The Kettle On]
-
A.
associatedWomanOfVictory
Indicates a relationship in which a woman is connected or linked to a particular victory, such as by contributing to, representing, or being honored in relation to that victory.
-
B.
conferenceOfChampion
Indicates a relationship where a conference or event is held to recognize, feature, or determine a champion.
-
C.
finalChampion
Indicates that an entity is the ultimate winner or last remaining champion in a competition or series of contests.
-
D.
winnerDam
Indicates that the subject entity is the dam (mother) of an offspring that has won a specified race or competition.
-
E.
chiefQueen
Indicates that one entity is the primary or highest-ranking queen in relation to another entity.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f62782b9048190b942a03b3518b863 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f622a8fe7c819096e8a43db263a423 |
completed | May 2, 2026, 4:13 p.m. |
Created at: April 27, 2026, 11:20 a.m.