Triple
T32644379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leakee |
E834560
|
entity |
| Predicate | precededByPersonaOf |
P190374
|
FINISHED |
| Object | football player Leati Joseph Anoaʻi |
—
|
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: football player Leati Joseph Anoaʻi | Statement: [Leakee, precededByPersonaOf, football player Leati Joseph Anoaʻi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByPersonaOf Context triple: [Leakee, precededByPersonaOf, football player Leati Joseph Anoaʻi]
-
A.
precedesPersonalName
Indicates that one element appears immediately before a personal name in sequence or ordering.
-
B.
wasPrecededBy
Indicates that one event, state, or entity occurred or existed earlier in time than another.
-
C.
precededByOnUS1
Indicates that one entity occurs or is positioned immediately before another entity along the route designated as US1.
-
D.
usedToPrecede
Indicates that one entity regularly or habitually came before another in time or sequence in the past.
-
E.
precededByDocument
Indicates that one document occurs or is issued earlier in sequence or time than another document.
- F. None of above. chosen
Provenance (4 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc4b5f22c8190b8b256adbdc2570c |
completed | May 7, 2026, 4:58 p.m. |
Created at: May 1, 2026, 1:07 a.m.