Triple
T16640206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farewell |
E404310
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Alexander Grant
Alexander Grant is a writer known for his work on the piece titled "Farewell."
|
E1224344
|
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: Alexander Grant | Statement: [Farewell, writer, Alexander Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexander Grant Context triple: [Farewell, writer, Alexander Grant]
-
A.
Alexander Grant
Alexander Grant was a British colonial official and military officer who served as a prominent early administrator in what is now Ontario, Canada.
-
B.
Alexander Grant
Alexander Grant was a prominent Scottish ballet dancer and choreographer who became a leading figure in international ballet, including leadership roles in major companies.
-
C.
Alexander Grant
Alexander Grant, better known as Alex da Kid, is a British record producer and songwriter recognized for crafting hit songs across hip hop and pop music.
-
D.
Andrew McAlpine
Andrew McAlpine is a British production designer and art director known for his distinctive visual work on films such as "Sid and Nancy."
-
E.
Arthur Grant
Arthur Grant was a British cinematographer best known for his work on numerous Hammer Films productions in the mid-20th century.
- 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: Alexander Grant Triple: [Farewell, writer, Alexander Grant]
Generated description
Alexander Grant is a writer known for his work on the piece titled "Farewell."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alexander Grant Target entity description: Alexander Grant is a writer known for his work on the piece titled "Farewell."
-
A.
Alexander Grant
Alexander Grant was a British colonial official and military officer who served as a prominent early administrator in what is now Ontario, Canada.
-
B.
Alexander Grant
Alexander Grant was a prominent Scottish ballet dancer and choreographer who became a leading figure in international ballet, including leadership roles in major companies.
-
C.
Alexander Grant
Alexander Grant, better known as Alex da Kid, is a British record producer and songwriter recognized for crafting hit songs across hip hop and pop music.
-
D.
Andrew McAlpine
Andrew McAlpine is a British production designer and art director known for his distinctive visual work on films such as "Sid and Nancy."
-
E.
Arthur Grant
Arthur Grant was a British cinematographer best known for his work on numerous Hammer Films productions in the mid-20th century.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad0e5408190aef8b5577be73057 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc41638819090e967ade46d35a4 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e28aee48190873c76743aa1778e |
completed | May 10, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f3bf6e081908554238d069d9abc |
completed | May 10, 2026, 12:51 p.m. |
Created at: April 10, 2026, 5:18 a.m.