Triple
T18574989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Oath |
E453961
|
entity |
| Predicate | hasMainSubject |
P450
|
FINISHED |
| Object |
Abu Jandal
Abu Jandal is a former al-Qaeda member from Yemen who became known for renouncing extremism and cooperating with authorities, notably featured in the documentary "The Oath."
|
E1331581
|
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 Jandal | Statement: [The Oath, hasMainSubject, Abu Jandal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abu Jandal Context triple: [The Oath, hasMainSubject, Abu Jandal]
-
A.
Abu Dulaf
Abu Dulaf was an early Islamic military commander and governor known for his role in the Abbasid Caliphate’s expansion and administration.
-
B.
Abu Halifa
Abu Halifa is a coastal residential district in the Ahmadi Governorate of Kuwait known for its beaches, shopping centers, and proximity to other suburban neighborhoods like Al-Funaitees.
-
C.
Abu Salih
Abu Salih is an honorific title used for Mansur I, a historical Islamic ruler.
-
D.
Abu Du'a
Abu Du'a is the nom de guerre of Abu Bakr al-Baghdadi, the former leader of the Islamic State (ISIS) jihadist organization.
-
E.
Abu Lulu
Abu Lulu was a Persian slave and craftsman historically known for assassinating the second Rashidun caliph, Umar ibn al-Khattab, in Medina.
- 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 Jandal Triple: [The Oath, hasMainSubject, Abu Jandal]
Generated description
Abu Jandal is a former al-Qaeda member from Yemen who became known for renouncing extremism and cooperating with authorities, notably featured in the documentary "The Oath."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abu Jandal Target entity description: Abu Jandal is a former al-Qaeda member from Yemen who became known for renouncing extremism and cooperating with authorities, notably featured in the documentary "The Oath."
-
A.
Abu Dulaf
Abu Dulaf was an early Islamic military commander and governor known for his role in the Abbasid Caliphate’s expansion and administration.
-
B.
Abu Halifa
Abu Halifa is a coastal residential district in the Ahmadi Governorate of Kuwait known for its beaches, shopping centers, and proximity to other suburban neighborhoods like Al-Funaitees.
-
C.
Abu Salih
Abu Salih is an honorific title used for Mansur I, a historical Islamic ruler.
-
D.
Abu Du'a
Abu Du'a is the nom de guerre of Abu Bakr al-Baghdadi, the former leader of the Islamic State (ISIS) jihadist organization.
-
E.
Abu Lulu
Abu Lulu was a Persian slave and craftsman historically known for assassinating the second Rashidun caliph, Umar ibn al-Khattab, in Medina.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c8c0608190afc99235006bf87f |
completed | April 19, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f888bffc819083c8ea4490a53e57 |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04f934be088190916350d9209c1d7d |
completed | May 13, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04f9cbff948190ab189a933a1f7e6d |
completed | May 13, 2026, 10:23 p.m. |
Created at: April 10, 2026, 11:43 a.m.