Triple
T24873718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanie Jayne Houghton |
E622506
|
entity |
| Predicate | hasPlayedInternationalMatchesFor |
P18320
|
FINISHED |
| Object | England |
—
|
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: England | Statement: [Stephanie Jayne Houghton, hasPlayedInternationalMatchesFor, England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlayedInternationalMatchesFor Context triple: [Stephanie Jayne Houghton, hasPlayedInternationalMatchesFor, England]
-
A.
playedInternationally
Indicates that an individual has participated in official international-level events or competitions representing a country or equivalent national entity.
-
B.
hasPlayedForNationalTeam
chosen
Indicates that an athlete has been a member of and appeared in competition for a specified national team.
-
C.
playsInternationalMatchesIn
Indicates that an athlete or team participates in international matches held in a specified location or competition context.
-
D.
playsInternationalMatchesAgainst
Indicates that one entity participates in international matches or games against another entity.
-
E.
hasPlayedInCountry
Indicates that an entity (typically a person or team) has participated in a game, match, or performance within a specified country.
- 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_69e2fac3fdbc81909c2ec49be5743cd9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:23 a.m.