Triple
T6307046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Gerrard |
E141402
|
entity |
| Predicate | totalAppearancesForLiverpool |
P13108
|
FINISHED |
| Object | over 700 |
—
|
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: over 700 | Statement: [Steven Gerrard, totalAppearancesForLiverpool, over 700]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalAppearancesForLiverpool Context triple: [Steven Gerrard, totalAppearancesForLiverpool, over 700]
-
A.
clubAppearances
chosen
Indicates the number of official matches a player has played for a particular club.
-
B.
sportNumberOfAppearances
Indicates the total number of times an entity has participated in or appeared in a particular sport or sporting event.
-
C.
LiverpoolManager
Indicates that one entity serves as the manager (head coach) of the football club Liverpool.
-
D.
banDurationForLiverpool
Indicates the length of time that a ban applies specifically to Liverpool.
-
E.
fifaWorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup tournaments.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647b69f08190bb085f9b700f6453 |
completed | March 22, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:28 p.m.