Triple
T13354758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shoghi Effendi |
E318659
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Shoghí
Shoghí is the given name of Shoghi Effendi, the Guardian and appointed interpreter of the Bahá'í Faith.
|
E1034621
|
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: Shoghí | Statement: [Shoghi Effendi, givenName, Shoghí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shoghí Context triple: [Shoghi Effendi, givenName, Shoghí]
-
A.
Tuyserkan
Tuyserkan is a city in western Iran known for its walnut orchards, traditional handicrafts, and historical sites such as ancient tombs and bazaars.
-
B.
Ghashghaei
The Ghashghaei are a traditionally nomadic Turkic-speaking tribal group of southwestern Iran known for their pastoral lifestyle, rich cultural heritage, and distinctive carpet weaving.
-
C.
Azarbarzin
Azarbarzin is a character from Persian epic tradition, known primarily as the son of the legendary hero Esfandiyar.
-
D.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
-
E.
Meykandar
Meykandar was a 13th-century South Indian philosopher and theologian whose writings systematized and profoundly shaped the Shaiva Siddhanta school of Hindu thought.
- 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: Shoghí Triple: [Shoghi Effendi, givenName, Shoghí]
Generated description
Shoghí is the given name of Shoghi Effendi, the Guardian and appointed interpreter of the Bahá'í Faith.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shoghí Target entity description: Shoghí is the given name of Shoghi Effendi, the Guardian and appointed interpreter of the Bahá'í Faith.
-
A.
Tuyserkan
Tuyserkan is a city in western Iran known for its walnut orchards, traditional handicrafts, and historical sites such as ancient tombs and bazaars.
-
B.
Ghashghaei
The Ghashghaei are a traditionally nomadic Turkic-speaking tribal group of southwestern Iran known for their pastoral lifestyle, rich cultural heritage, and distinctive carpet weaving.
-
C.
Azarbarzin
Azarbarzin is a character from Persian epic tradition, known primarily as the son of the legendary hero Esfandiyar.
-
D.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
-
E.
Meykandar
Meykandar was a 13th-century South Indian philosopher and theologian whose writings systematized and profoundly shaped the Shaiva Siddhanta school of Hindu thought.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99f1ef94c81909a59b7c3f77d3335 |
completed | April 11, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f4bdfdc819094d3945280ed8d30 |
completed | May 3, 2026, 10:11 a.m. |
| NEDg | Description generation | batch_69f72018c4848190941732e3a938278a |
completed | May 3, 2026, 10:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f720bf04548190833af70061b017a1 |
completed | May 3, 2026, 10:17 a.m. |
Created at: April 9, 2026, 9:32 p.m.