Triple
T19037817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naim v. Naim |
E465921
|
entity |
| Predicate | party |
P1790
|
FINISHED |
| Object |
Han Say Naim
Han Say Naim was a litigant in the landmark U.S. Supreme Court case Naim v. Naim, which addressed the constitutionality of Virginia’s anti-miscegenation laws.
|
E1355986
|
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: Han Say Naim | Statement: [Naim v. Naim, party, Han Say Naim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Han Say Naim Context triple: [Naim v. Naim, party, Han Say Naim]
-
A.
Khaire
Khaire is a Somali surname notably borne by Hassan Ali Khaire, a former Prime Minister of Somalia.
-
B.
Haabneeme
Haabneeme is a small coastal settlement in northern Estonia, located on the Viimsi Peninsula near Tallinn.
-
C.
Hosh Bannaga
Hosh Bannaga is a town in Sudan known primarily as the birthplace of former Sudanese president Omar al-Bashir.
-
D.
Dhlail
Dhlail is a town in northern Jordan located within the Zarqa Governorate, known for its agricultural activity and proximity to major industrial and urban centers.
-
E.
Nimaat-Hapi
Nimaat-Hapi (Nimaathap) was an early Egyptian queen, likely of the late 2nd or early 3rd Dynasty, often considered a royal mother or consort associated with the transition between these dynasties.
- 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: Han Say Naim Triple: [Naim v. Naim, party, Han Say Naim]
Generated description
Han Say Naim was a litigant in the landmark U.S. Supreme Court case Naim v. Naim, which addressed the constitutionality of Virginia’s anti-miscegenation laws.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Han Say Naim Target entity description: Han Say Naim was a litigant in the landmark U.S. Supreme Court case Naim v. Naim, which addressed the constitutionality of Virginia’s anti-miscegenation laws.
-
A.
Khaire
Khaire is a Somali surname notably borne by Hassan Ali Khaire, a former Prime Minister of Somalia.
-
B.
Haabneeme
Haabneeme is a small coastal settlement in northern Estonia, located on the Viimsi Peninsula near Tallinn.
-
C.
Hosh Bannaga
Hosh Bannaga is a town in Sudan known primarily as the birthplace of former Sudanese president Omar al-Bashir.
-
D.
Dhlail
Dhlail is a town in northern Jordan located within the Zarqa Governorate, known for its agricultural activity and proximity to major industrial and urban centers.
-
E.
Nimaat-Hapi
Nimaat-Hapi (Nimaathap) was an early Egyptian queen, likely of the late 2nd or early 3rd Dynasty, often considered a royal mother or consort associated with the transition between these dynasties.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7fed99c81909495797c604db044 |
completed | April 20, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05c547bcb88190bfef5c4a0d2678e4 |
completed | May 14, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_6a05c69f12b081908bf6baf78a09a13f |
completed | May 14, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c704b21c81909dd690d07ffa1526 |
completed | May 14, 2026, 12:58 p.m. |
Created at: April 10, 2026, 12:02 p.m.