Triple
T4374763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armen |
E98977
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object |
Armenouhi
Armenouhi is an Armenian female given name, traditionally used as the feminine counterpart of the name Armen.
|
E98977
|
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: Armenouhi | Statement: [Armen, relatedName, Armenouhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armenouhi Context triple: [Armen, relatedName, Armenouhi]
-
A.
Արարատ
Արարատ is the Armenian name for Mount Ararat, the iconic snow-capped volcanic massif traditionally associated with the resting place of Noah’s Ark and a national symbol for Armenians.
-
B.
Armen
Armen is a masculine given name of Armenian origin, commonly used in Armenia and among the Armenian diaspora.
-
C.
Armãnji
Armãnji are an Eastern Romance ethnic group native to the Balkans, known for their Aromanian language and distinct pastoral and mercantile traditions.
-
D.
Armn
Armn is the ISO 15924 four-letter code that designates the Armenian script used for writing the Armenian language.
-
E.
Armenistis
Armenistis is a coastal village and popular tourist resort on the Greek island of Ikaria, known for its beaches, tavernas, and relaxed atmosphere.
- 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: Armenouhi Triple: [Armen, relatedName, Armenouhi]
Generated description
Armenouhi is an Armenian female given name, traditionally used as the feminine counterpart of the name Armen.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Armenouhi Target entity description: Armenouhi is an Armenian female given name, traditionally used as the feminine counterpart of the name Armen.
-
A.
Արարատ
Արարատ is the Armenian name for Mount Ararat, the iconic snow-capped volcanic massif traditionally associated with the resting place of Noah’s Ark and a national symbol for Armenians.
-
B.
Armen
chosen
Armen is a masculine given name of Armenian origin, commonly used in Armenia and among the Armenian diaspora.
-
C.
Armãnji
Armãnji are an Eastern Romance ethnic group native to the Balkans, known for their Aromanian language and distinct pastoral and mercantile traditions.
-
D.
Armn
Armn is the ISO 15924 four-letter code that designates the Armenian script used for writing the Armenian language.
-
E.
Armenistis
Armenistis is a coastal village and popular tourist resort on the Greek island of Ikaria, known for its beaches, tavernas, and relaxed atmosphere.
- F. None of above.
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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352222df48190bead639e99635faf |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6135623888190bf7a4b558ca3e0d4 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b614371b2081909fabb88f2993dd29 |
completed | March 15, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6155a57c08190bbf2e88f95cede16 |
completed | March 15, 2026, 2:11 a.m. |
Created at: March 12, 2026, 11:18 p.m.