Triple
T10056745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic State central leadership |
E208881
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object |
Abu Salah
Abu Salah was a senior Islamic State leader known primarily for overseeing the group’s financial operations and funding networks.
|
E838641
|
NE FINISHED |
How this triple was built (4 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: Abu Salah | Statement: [Islamic State central leadership, notableMember, Abu Salah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abu Salah Context triple: [Islamic State central leadership, notableMember, Abu Salah]
-
A.
Abu Futaira
Abu Futaira is a modern residential district in Kuwait known for its planned housing and location within the expanding suburbs of Kuwait City.
-
B.
Abu Arish
Abu Arish is a city in southwestern Saudi Arabia located in the Jazan Region near the Red Sea coast.
-
C.
Abu Lulu
Abu Lulu was a Persian slave and craftsman historically known for assassinating the second Rashidun caliph, Umar ibn al-Khattab, in Medina.
-
D.
Abu Sneineh
Abu Sneineh is an Arabic family name notably borne by Taysir Abu Sneineh, a Palestinian political figure.
-
E.
Abu Tig
Abu Tig is a city in Egypt’s Asyut Governorate, known as a local urban and commercial center in Upper Egypt.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Abu Salah Triple: [Islamic State central leadership, notableMember, Abu Salah]
Generated description
Abu Salah was a senior Islamic State leader known primarily for overseeing the group’s financial operations and funding networks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abu Salah Target entity description: Abu Salah was a senior Islamic State leader known primarily for overseeing the group’s financial operations and funding networks.
-
A.
Abu Futaira
Abu Futaira is a modern residential district in Kuwait known for its planned housing and location within the expanding suburbs of Kuwait City.
-
B.
Abu Arish
Abu Arish is a city in southwestern Saudi Arabia located in the Jazan Region near the Red Sea coast.
-
C.
Abu Lulu
Abu Lulu was a Persian slave and craftsman historically known for assassinating the second Rashidun caliph, Umar ibn al-Khattab, in Medina.
-
D.
Abu Sneineh
Abu Sneineh is an Arabic family name notably borne by Taysir Abu Sneineh, a Palestinian political figure.
-
E.
Abu Tig
Abu Tig is a city in Egypt’s Asyut Governorate, known as a local urban and commercial center in Upper Egypt.
- F. None of above. chosen
Provenance (5 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfae503881909b9f016da4e2207d |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a5258788190a4ecdefa5b520609 |
completed | April 5, 2026, 5:22 p.m. |
| NEDg | Description generation | batch_69d29b7430248190b8965eaf1286dd7c |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c7ba9f081908f4614098d6c954b |
completed | April 5, 2026, 5:31 p.m. |
Created at: March 30, 2026, 8:57 p.m.