Triple
T23022846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Omar al-Baghdadi |
E573213
|
entity |
| Predicate | organizationLedIsPrecursorOf |
P150711
|
FINISHED |
| Object | ISIS |
—
|
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: ISIS | Statement: [Abu Omar al-Baghdadi, organizationLedIsPrecursorOf, ISIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ISIS Context triple: [Abu Omar al-Baghdadi, organizationLedIsPrecursorOf, ISIS]
-
A.
ISIS
chosen
ISIS is a violent extremist Islamist militant group known for establishing a self-proclaimed caliphate in parts of Iraq and Syria and carrying out widespread terrorist attacks.
-
B.
ISIS
ISIS is the fictional private intelligence and espionage agency that serves as the primary workplace and backdrop for the characters and storylines in the animated TV series "Archer."
-
C.
IS
IS is the official vehicle registration code used on license plates for vehicles registered in Iași County, Romania.
-
D.
IS
IS is the commonly used abbreviation for International Sign, a simplified sign language used for cross-linguistic communication among deaf people at international events.
-
E.
IS
IS is the two-letter ISO 3166-1 alpha-2 country code representing Iceland in international standards and systems.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183ea23088190b2f42d9bf01514ac |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.