Triple
T24706567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Hopoate |
E611907
|
entity |
| Predicate | hasPlayedFullbackFor |
P2170
|
FINISHED |
| Object | St Helens R.F.C. |
—
|
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: St Helens R.F.C. | Statement: [Will Hopoate, hasPlayedFullbackFor, St Helens R.F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedFullbackFor Context triple: [Will Hopoate, hasPlayedFullbackFor, St Helens R.F.C.]
-
A.
playedFor
chosen
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
B.
playedInNFCChampionshipGameWith
Indicates that two players participated together on the same team in at least one NFC Championship Game.
-
C.
playedWithQuarterback
Indicates that one player participated on the same team at the same time as a specific quarterback, sharing game or practice play together.
-
D.
playedAmericanFootball
Indicates that one entity participated in playing American football, either professionally, collegiately, or at another organized level, during some period of time.
-
E.
numberOfRunningBacks
Indicates the quantity of running backs involved or associated in the given context or situation.
- 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_69e2c4d9c24c8190a3712d74327f0c6e |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:24 a.m.