Triple
T18038304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hessa bint Al Mur bin Hureiz Al Falasi |
E431571
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hessa
Hessa is a feminine given name commonly used in Arabic-speaking countries, particularly in the Gulf region.
|
E1302166
|
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: Hessa | Statement: [Hessa bint Al Mur bin Hureiz Al Falasi, givenName, Hessa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hessa Context triple: [Hessa bint Al Mur bin Hureiz Al Falasi, givenName, Hessa]
-
A.
Hessa
Hessa is an island in Norway that forms part of the coastal city of Ålesund, known for its scenic landscapes and maritime surroundings.
-
B.
Hayssa
Hayssa is a town located within the Akkar Governorate in northern Lebanon.
-
C.
Gamharia
Gamharia is a town in Jharkhand, India, known as an important urban and industrial hub within the Jamshedpur metropolitan and industrial region.
-
D.
Sahra
Sahra is a feminine given name, commonly considered a variant spelling of Sara or Sarah used in various cultures.
-
E.
Hassa
Hassa is a feminine given name of Arabic origin, commonly used in the Gulf region.
- 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: Hessa Triple: [Hessa bint Al Mur bin Hureiz Al Falasi, givenName, Hessa]
Generated description
Hessa is a feminine given name commonly used in Arabic-speaking countries, particularly in the Gulf region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hessa Target entity description: Hessa is a feminine given name commonly used in Arabic-speaking countries, particularly in the Gulf region.
-
A.
Hessa
Hessa is an island in Norway that forms part of the coastal city of Ålesund, known for its scenic landscapes and maritime surroundings.
-
B.
Hayssa
Hayssa is a town located within the Akkar Governorate in northern Lebanon.
-
C.
Gamharia
Gamharia is a town in Jharkhand, India, known as an important urban and industrial hub within the Jamshedpur metropolitan and industrial region.
-
D.
Sahra
Sahra is a feminine given name, commonly considered a variant spelling of Sara or Sarah used in various cultures.
-
E.
Hassa
Hassa is a feminine given name of Arabic origin, commonly used in the Gulf region.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be3bc3208190a6db569e79f06232 |
completed | April 19, 2026, 11:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0349b345148190b500996adc2c4d6f |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034a6325b881909f8b21f25c88c561 |
completed | May 12, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034b35b618819086373115fea686ad |
completed | May 12, 2026, 3:45 p.m. |
Created at: April 10, 2026, 10:25 a.m.