Triple
T8047864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jalal Al-e-Ahmad |
E187599
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jalal
Jalal is the given name of Jalal Al-e-Ahmad, a prominent 20th-century Iranian writer, social critic, and intellectual.
|
E712403
|
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: Jalal | Statement: [Jalal Al-e-Ahmad, givenName, Jalal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalal Context triple: [Jalal Al-e-Ahmad, givenName, Jalal]
-
A.
Mir Ja‘far
Mir Ja‘far was an 18th-century Nawab of Bengal best known for his role in aiding the British East India Company’s rise to power in India, particularly through his involvement in the Battle of Plassey.
-
B.
Fazl
Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
-
C.
Sa’id
Sa’id is a male given name of Arabic origin, commonly meaning "happy" or "fortunate."
-
D.
Naser
Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
-
E.
Tahir
Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
- 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: Jalal Triple: [Jalal Al-e-Ahmad, givenName, Jalal]
Generated description
Jalal is the given name of Jalal Al-e-Ahmad, a prominent 20th-century Iranian writer, social critic, and intellectual.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jalal Target entity description: Jalal is the given name of Jalal Al-e-Ahmad, a prominent 20th-century Iranian writer, social critic, and intellectual.
-
A.
Mir Ja‘far
Mir Ja‘far was an 18th-century Nawab of Bengal best known for his role in aiding the British East India Company’s rise to power in India, particularly through his involvement in the Battle of Plassey.
-
B.
Fazl
Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
-
C.
Sa’id
Sa’id is a male given name of Arabic origin, commonly meaning "happy" or "fortunate."
-
D.
Naser
Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
-
E.
Tahir
Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f4f0bf88190b8a706186118c977 |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93cc0cec8190834e4c24f6d03a99 |
completed | April 1, 2026, 3:41 a.m. |
| NEDg | Description generation | batch_69cc969e0ecc8190973658542d1406bc |
completed | April 1, 2026, 3:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc9771b6e48190bd5f45c3f8853890 |
completed | April 1, 2026, 3:56 a.m. |
Created at: March 30, 2026, 5:24 p.m.