Triple
T24422707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France vs Mexico (1930 FIFA World Cup) |
E615766
|
entity |
| Predicate | goalScorerForMexico |
P2695
|
FINISHED |
| Object |
Juan Carreño
Juan Carreño was a Mexican footballer remembered as one of the early international players who represented Mexico at the inaugural 1930 FIFA World Cup.
|
E1880270
|
NE FINISHED |
How this triple was built (3 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: Juan Carreño | Statement: [France vs Mexico (1930 FIFA World Cup), goalScorerForMexico, Juan Carreño]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Juan Carreño Triple: [France vs Mexico (1930 FIFA World Cup), goalScorerForMexico, Juan Carreño]
Generated description
Juan Carreño was a Mexican footballer remembered as one of the early international players who represented Mexico at the inaugural 1930 FIFA World Cup.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalScorerForMexico Context triple: [France vs Mexico (1930 FIFA World Cup), goalScorerForMexico, Juan Carreño]
-
A.
goalScorer
chosen
Indicates that the subject is the player who scored a particular goal in a game or match.
-
B.
recordGoalScorer_MLSGoals
Indicates that an entity is recorded as the player who scored a particular goal in an MLS (Major League Soccer) match or goal event.
-
C.
sharesUSMNTScoringRecordWith
Indicates that two individuals are tied for the same number of goals scored for the United States Men's National Soccer Team (USMNT), sharing a scoring record.
-
D.
positionInMexicanFootball
Indicates that one entity holds a specific role or position within the organizational or competitive structure of Mexican football.
-
E.
finalGoalscorer
Indicates that an entity is the player who scored the last goal in a particular match or event.
- F. None of above.
Provenance (6 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a4285881909376560f1cf4bf62 |
completed | April 29, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a267e87f534819095c8af1d0e95de86 |
completed | June 8, 2026, 8:34 a.m. |
| NEDg | Description generation | batch_6a2682fadaf48190a4d691901671b579 |
completed | June 8, 2026, 8:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a268ec8f3908190a8801d62e978ac15 |
completed | June 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:14 a.m.