Triple
T13945556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H. Essame |
E335373
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Essame
Essame is an English surname borne by various individuals, including military figures and public personalities.
|
E1070499
|
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: Essame | Statement: [H. Essame, familyName, Essame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Essame Context triple: [H. Essame, familyName, Essame]
-
A.
Sameba
Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
-
B.
Erakor
Erakor is a small island and settlement near Efate in Vanuatu, known for its lagoon setting and traditional village life.
-
C.
Sooretama
Sooretama is a municipality in the Brazilian state of Espírito Santo, known for its proximity to the Sooretama Biological Reserve and its Atlantic Forest conservation areas.
-
D.
Tettamanzi
Tettamanzi is an Italian surname most notably associated with Cardinal Dionigi Tettamanzi, a prominent figure in the Roman Catholic Church.
-
E.
Negaim
Negaim is a tractate of the Mishnah that deals with the laws of ritual impurity caused by skin afflictions traditionally associated with biblical leprosy.
- 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: Essame Triple: [H. Essame, familyName, Essame]
Generated description
Essame is an English surname borne by various individuals, including military figures and public personalities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Essame Target entity description: Essame is an English surname borne by various individuals, including military figures and public personalities.
-
A.
Sameba
Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
-
B.
Erakor
Erakor is a small island and settlement near Efate in Vanuatu, known for its lagoon setting and traditional village life.
-
C.
Sooretama
Sooretama is a municipality in the Brazilian state of Espírito Santo, known for its proximity to the Sooretama Biological Reserve and its Atlantic Forest conservation areas.
-
D.
Tettamanzi
Tettamanzi is an Italian surname most notably associated with Cardinal Dionigi Tettamanzi, a prominent figure in the Roman Catholic Church.
-
E.
Negaim
Negaim is a tractate of the Mishnah that deals with the laws of ritual impurity caused by skin afflictions traditionally associated with biblical leprosy.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e10f60c81908ee9636e85c070ff |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce903c5c8190b72d83a5b842ad70 |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f9fd5d4abc8190aa10d9f1c9f7f9c9 |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb14bfa2c081908381bb74f040c6c8 |
completed | May 6, 2026, 10:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.