Triple
T28004599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Clark |
E707240
|
entity |
| Predicate | activeYearsInTopLevelFootball |
P8357
|
FINISHED |
| Object | 1960s |
—
|
LITERAL FINISHED |
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: 1960s | Statement: [John Clark, activeYearsInTopLevelFootball, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeYearsInTopLevelFootball Context triple: [John Clark, activeYearsInTopLevelFootball, 1960s]
-
A.
activeYearsInCareer
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
-
B.
activeYearsInSport
chosen
Indicates the span of years during which an entity actively participated in a particular sport.
-
C.
activeYearsInWorldCup
Indicates the span of years during which an entity actively participated in World Cup competitions.
-
D.
activeYearsInMLS
Indicates the span of years during which an entity was actively involved in Major League Soccer (MLS).
-
E.
yearsAsPlayerAtClub
Indicates the number of years a person spent playing for a particular club.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 7:59 p.m.