Triple
T28155793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel Faris Al-Ghazi |
E714742
|
entity |
| Predicate | investigatesInStory |
P158202
|
FINISHED |
| Object | terrorist attack |
—
|
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: terrorist attack | Statement: [Colonel Faris Al-Ghazi, investigatesInStory, terrorist attack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: investigatesInStory Context triple: [Colonel Faris Al-Ghazi, investigatesInStory, terrorist attack]
-
A.
investigatesIn
chosen
Indicates that an entity conducts an investigation or inquiry within, or focused on, a particular context, location, or domain.
-
B.
portraysInvestigationOf
Indicates that one entity depicts, represents, or illustrates the process, details, or conduct of an investigation concerning another entity.
-
C.
investigatesAt
Indicates that an entity conducts an investigation or research activity at a specific location or institution.
-
D.
investigatedBy
Indicates that an entity is the subject of an investigation carried out by another entity.
-
E.
stakesInStory
Indicates that one entity has a personal investment, risk, or potential gain/loss tied to the outcome of another entity’s story or narrative.
- 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 10:02 p.m.