Triple
T1324573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entissar Amer |
E28295
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Amer
Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
|
E152261
|
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: Amer | Statement: [Entissar Amer, familyName, Amer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amer Context triple: [Entissar Amer, familyName, Amer]
-
A.
Amery
Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
-
B.
Amerika
Amerika is a novel by Franz Kafka that follows a young European immigrant’s surreal and often absurd experiences in the United States.
-
C.
America
America is the landmass in the Western Hemisphere comprising the continents of North and South America, widely recognized for its vast geographic, cultural, and political diversity.
-
D.
Indio
Indio is a city in Southern California’s Coachella Valley best known as the primary host location of the Coachella Valley Music and Arts Festival.
-
E.
América
América is a popular Mexican professional football club based in Mexico City, widely recognized as one of the most successful and supported teams in Liga MX.
- 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: Amer Triple: [Entissar Amer, familyName, Amer]
Generated description
Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amer Target entity description: Amer is a common Arabic surname borne by various notable individuals across the Middle East and North Africa.
-
A.
Amery
Amery is an English surname most notably associated with a British political family, including Conservative politician Julian Amery.
-
B.
Amerika
Amerika is a novel by Franz Kafka that follows a young European immigrant’s surreal and often absurd experiences in the United States.
-
C.
America
America is the landmass in the Western Hemisphere comprising the continents of North and South America, widely recognized for its vast geographic, cultural, and political diversity.
-
D.
Indio
Indio is a city in Southern California’s Coachella Valley best known as the primary host location of the Coachella Valley Music and Arts Festival.
-
E.
América
América is a popular Mexican professional football club based in Mexico City, widely recognized as one of the most successful and supported teams in Liga MX.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19e81c0819092f85201ae34422a |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf2e13dc8190902879be5fa69adb |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbf94e6e881908d15b2ef99f17668 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc0b212608190bbb2310402d86ed9 |
completed | March 8, 2026, 12:20 a.m. |
Created at: March 1, 2026, 7:55 p.m.