Triple
T9909339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herb Abramson |
E185097
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Abramson |
E681542
|
NE FINISHED |
How this triple was built (2 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: Abramson | Statement: [Herb Abramson, familyName, Abramson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abramson Context triple: [Herb Abramson, familyName, Abramson]
-
A.
Abramson
chosen
Abramson is a Jewish Ashkenazi patronymic surname derived from the given name Abram or Abraham, meaning "son of Abram/Abraham."
-
B.
Abramovitz
Abramovitz is a Jewish-origin surname most notably borne by American architect Max Abramovitz, known for designing prominent modernist buildings.
-
C.
Abrahamson
Abrahamson is a surname of Scandinavian origin borne by various notable individuals in fields such as science, the military, and the arts.
-
D.
Abelson
Abelson is a surname most notably associated with Hal Abelson, an American computer scientist and educator known for his work on the Scheme programming language and the textbook "Structure and Interpretation of Computer Programs."
-
E.
Abrahams
Abrahams is a surname most notably associated with Harold Abrahams, the British Olympic sprinter portrayed in the film "Chariots of Fire."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb51184d08190a0350f2722110811 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20db5979081909b8e292ac6bb7c2f |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:41 p.m.