Triple
T4418136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Lampard |
E95026
|
entity |
| Predicate | totalAppearancesForChelsea |
P13108
|
FINISHED |
| Object | 648 |
—
|
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: 648 | Statement: [Frank Lampard, totalAppearancesForChelsea, 648]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalAppearancesForChelsea Context triple: [Frank Lampard, totalAppearancesForChelsea, 648]
-
A.
numberOfTitlesOfChelsea
Indicates the total count of titles that Chelsea has won.
-
B.
clubAppearances
chosen
Indicates the number of official matches a player has played for a particular club.
-
C.
EuropeanChampionshipAppearances
Indicates the number of times an entity has participated in a European Championship tournament.
-
D.
premiershipCount
Indicates the number of premiership titles or championships an entity has won.
-
E.
teamWithMostAppearances
Indicates the team that has participated the greatest number of times in a given context or competition.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551d5d7481908528c2de0a6fda06 |
completed | March 13, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69b34f5d0c54819085c08533bb58030a |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:29 p.m.