Triple
T23577837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asif Iqbal |
E580311
|
entity |
| Predicate | allegationsStatus |
P142304
|
FINISHED |
| Object | never formally charged in a court of law |
—
|
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: never formally charged in a court of law | Statement: [Asif Iqbal, allegationsStatus, never formally charged in a court of law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegationsStatus Context triple: [Asif Iqbal, allegationsStatus, never formally charged in a court of law]
-
A.
allegedStatus
Indicates that a particular status or condition is claimed or asserted about an entity, but has not been confirmed as true.
-
B.
hasAllegationsOf
Indicates that one entity is accused or suspected of engaging in certain actions, behaviors, or misconduct, but without implying that these accusations are proven.
-
C.
deniedAllegations
Indicates that one party has rejected or refuted specific accusations made against them.
-
D.
complainantStatus
Indicates the role or standing of the person or party making a complaint in relation to the case or issue.
-
E.
legalStatusOfClaims
chosen
Indicates the current legal standing or condition of specific claims within a legal or administrative context.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd725d88190b33c8fb26603db59 |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:38 p.m.