Triple
T4584410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Grossman |
E101933
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Grossman |
E435388
|
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: Grossman | Statement: [Albert Grossman, familyName, Grossman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grossman Context triple: [Albert Grossman, familyName, Grossman]
-
A.
Grossman
chosen
Grossman is a surname most notably associated with Edith Grossman, the acclaimed American literary translator renowned for her English renditions of major Spanish-language works.
-
B.
Heller
Heller is a surname shared by various notable individuals across fields such as film, literature, science, and politics.
-
C.
Heller
The Heller is a river in Germany that serves as a right-bank tributary of the Sieg.
-
D.
Soldier Blue
Soldier Blue is a 1970 American Western film known for its graphic depiction of violence and its critical portrayal of the U.S. Cavalry’s treatment of Native Americans.
-
E.
A Choice of Weapons
"A Choice of Weapons" is Gordon Parks’s influential autobiographical work in which he reflects on his life, art, and use of the camera as a tool for social change.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd590411dc81909c55d1c42a4d44ef |
completed | March 20, 2026, 2:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0a18c90819083953e78fc6de8db |
completed | March 21, 2026, 12:04 a.m. |
Created at: March 20, 2026, 1:10 p.m.