Triple
T9814504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Sarvath al-Hassan |
E238365
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Sarvath
Sarvath is the given name of Princess Sarvath al-Hassan, a prominent Jordanian royal and public figure.
|
E823542
|
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: Sarvath | Statement: [Princess Sarvath al-Hassan, givenName, Sarvath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarvath Context triple: [Princess Sarvath al-Hassan, givenName, Sarvath]
-
A.
Sarba
Sarba is a locality in Lebanon that forms part of the coastal urban area around Jounieh and falls within the pastoral jurisdiction of the Maronite Catholic Eparchy of Joubbé, Sarba and Jounieh.
-
B.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
-
C.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
-
D.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
E.
Sambir
Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
- 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: Sarvath Triple: [Princess Sarvath al-Hassan, givenName, Sarvath]
Generated description
Sarvath is the given name of Princess Sarvath al-Hassan, a prominent Jordanian royal and public figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarvath Target entity description: Sarvath is the given name of Princess Sarvath al-Hassan, a prominent Jordanian royal and public figure.
-
A.
Sarba
Sarba is a locality in Lebanon that forms part of the coastal urban area around Jounieh and falls within the pastoral jurisdiction of the Maronite Catholic Eparchy of Joubbé, Sarba and Jounieh.
-
B.
Saartha
Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
-
C.
Savindan
Savindan is the Serbian Orthodox holiday and cultural celebration honoring Saint Sava, the first Archbishop of the Serbian Church and patron of education.
-
D.
Sarabha
Sarabha is an Indian surname most notably associated with Kartar Singh Sarabha, a prominent revolutionary in the Indian independence movement.
-
E.
Sambir
Sambir is a small historic city in western Ukraine known for its medieval roots and location within the Lviv Oblast.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f19660819083e3f15780352052 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc67db68819093217c9a74e72fbf |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1ccf59c68819082b4aa37e06d2aaf |
completed | April 5, 2026, 2:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1d0d945d48190b56b7fd2ce568a13 |
completed | April 5, 2026, 3:02 a.m. |
Created at: March 30, 2026, 8:30 p.m.