Triple
T7007633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan Lerman |
E162496
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Norman Ellison |
E529151
|
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: Norman Ellison | Statement: [Logan Lerman, portrayed, Norman Ellison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Ellison Context triple: [Logan Lerman, portrayed, Norman Ellison]
-
A.
Norman Ellison
chosen
Norman Ellison is a young, inexperienced assistant driver and gunner in the World War II tank crew depicted in the 2014 war film "Fury."
-
B.
Norman Bluhm
Norman Bluhm was an American abstract expressionist painter known for his dynamic, gestural canvases that bridged action painting and lyrical abstraction.
-
C.
Bill L. Norton
Bill L. Norton is an American film and television director and screenwriter known for his work in the 1970s and 1980s, including projects in both feature films and popular TV series.
-
D.
Norman Shields
Norman Shields is the bumbling newspaper reporter portrayed by Norman Wisdom in the 1966 British comedy film "Press for Time."
-
E.
Alan E. Nourse
Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc36e3fc8190957445132a9ffb5f |
completed | March 27, 2026, 7:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a43c3a081909b9150d36ba107f5 |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.