Triple
T28155792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel Faris Al-Ghazi |
E714742
|
entity |
| Predicate | partnerInStoryWith |
P60254
|
FINISHED |
| Object | FBI team |
—
|
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: FBI team | Statement: [Colonel Faris Al-Ghazi, partnerInStoryWith, FBI team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerInStoryWith Context triple: [Colonel Faris Al-Ghazi, partnerInStoryWith, FBI team]
-
A.
partnerInStory
chosen
Indicates that two or more entities are partners or collaborators within the context of a specific story or narrative.
-
B.
partnerInSeries
Indicates that two entities are co-participants or collaborators within the same series, jointly contributing to or appearing in that ongoing sequence.
-
C.
partnerInWorkOf
Indicates a collaborative relationship where one entity works together with another on a shared task, project, or professional activity.
-
D.
partnerInMyth
Indicates a mythological relationship in which two entities are partners or companions within the same myth or mythic narrative.
-
E.
partnerInActWith
Indicates that two or more entities jointly participate as partners in carrying out the same act or action.
- 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_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 27, 2026, 10:02 p.m.