Triple
T8010039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad al-Mahdi |
E186464
|
entity |
| Predicate | honorificTitle |
P2097
|
FINISHED |
| Object |
al-Hujja
al-Hujja is an honorific title in Shia Islam referring to Muhammad al-Mahdi as the divine proof and final Imam guiding humanity.
|
E707311
|
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: al-Hujja | Statement: [Muhammad al-Mahdi, honorificTitle, al-Hujja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: al-Hujja Context triple: [Muhammad al-Mahdi, honorificTitle, al-Hujja]
-
A.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
B.
Al-Mohager
Al-Mohager is a 1994 Egyptian historical drama film by director Youssef Chahine that offers a modern, allegorical retelling of the biblical story of Joseph.
-
C.
Hammad
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
-
D.
Zu al-Qa'dah
Zu al-Qa'dah is an alternative transliteration of Dhu al-Qadah, the eleventh month of the Islamic lunar calendar and one of its four sacred months.
-
E.
al-Taqi
al-Taqi is an honorific epithet meaning “the pious,” traditionally associated with the ninth Shia Imam, Muhammad al-Jawad.
- 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: al-Hujja Triple: [Muhammad al-Mahdi, honorificTitle, al-Hujja]
Generated description
al-Hujja is an honorific title in Shia Islam referring to Muhammad al-Mahdi as the divine proof and final Imam guiding humanity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: al-Hujja Target entity description: al-Hujja is an honorific title in Shia Islam referring to Muhammad al-Mahdi as the divine proof and final Imam guiding humanity.
-
A.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
B.
Al-Mohager
Al-Mohager is a 1994 Egyptian historical drama film by director Youssef Chahine that offers a modern, allegorical retelling of the biblical story of Joseph.
-
C.
Hammad
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
-
D.
Zu al-Qa'dah
Zu al-Qa'dah is an alternative transliteration of Dhu al-Qadah, the eleventh month of the Islamic lunar calendar and one of its four sacred months.
-
E.
al-Taqi
al-Taqi is an honorific epithet meaning “the pious,” traditionally associated with the ninth Shia Imam, Muhammad al-Jawad.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d70caf8819090a9f98025470c0d |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56a54e8081908208b57b7390cc95 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58ecd0608190ab0880992bc203fb |
completed | March 31, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cb791b48190bd5004b518d23f84 |
completed | March 31, 2026, 11:45 p.m. |
Created at: March 30, 2026, 5:19 p.m.