Triple
T34871405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali Bin Nasser |
E1005760
|
entity |
| Predicate | hasCommentedOn |
P22246
|
FINISHED |
| Object | responsibility of linesman in the "Hand of God" incident |
—
|
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: responsibility of linesman in the "Hand of God" incident | Statement: [Ali Bin Nasser, hasCommentedOn, responsibility of linesman in the "Hand of God" incident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommentedOn Context triple: [Ali Bin Nasser, hasCommentedOn, responsibility of linesman in the "Hand of God" incident]
-
A.
commentedOnBy
Indicates that an entity has received a comment authored or posted by another entity.
-
B.
hasPublicComment
Indicates that an entity is associated with one or more comments that are visible to the general public.
-
C.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
D.
hasCommentaryOn
chosen
Indicates that one entity provides commentary, explanation, or evaluative remarks about another entity.
-
E.
commentatedFor
Indicates that one entity provided live or recorded commentary or analysis for an event, performance, or broadcast on behalf of another entity (such as an organization, channel, or client).
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4 p.m.