Triple
T2620650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Naked and the Dead |
E58999
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Roth
Roth is one of the central soldiers in Norman Mailer’s World War II novel "The Naked and the Dead," representing the psychological and moral struggles of men in combat.
|
E284089
|
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: Roth | Statement: [The Naked and the Dead, hasMainCharacter, Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roth Context triple: [The Naked and the Dead, hasMainCharacter, Roth]
-
A.
Roth
Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
-
B.
Roth
Roth is a town in the Bavarian region of Middle Franconia in southern Germany.
-
C.
Rothkowitz
Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
-
D.
Rubin
Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
E.
Goldsman
Goldsman is the surname of Akiva Goldsman, an American screenwriter, director, and producer known for films such as "A Beautiful Mind."
- 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: Roth Triple: [The Naked and the Dead, hasMainCharacter, Roth]
Generated description
Roth is one of the central soldiers in Norman Mailer’s World War II novel "The Naked and the Dead," representing the psychological and moral struggles of men in combat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roth Target entity description: Roth is one of the central soldiers in Norman Mailer’s World War II novel "The Naked and the Dead," representing the psychological and moral struggles of men in combat.
-
A.
Roth
Roth is a locality within the German town of Lichtenfels in the state of Bavaria.
-
B.
Roth
Roth is a town in the Bavarian region of Middle Franconia in southern Germany.
-
C.
Rothkowitz
Rothkowitz is the original family surname of the abstract expressionist painter Mark Rothko, reflecting his Eastern European Jewish heritage.
-
D.
Rubin
Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
E.
Goldsman
Goldsman is the surname of Akiva Goldsman, an American screenwriter, director, and producer known for films such as "A Beautiful Mind."
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd897acb481909a976b70304cc30e |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af908ec0cc8190ab8feb8f237eac4b |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af91a3b4588190acfb360dac6e5ce0 |
completed | March 10, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af920b7fcc8190b5a34c7c626a1c5d |
completed | March 10, 2026, 3:37 a.m. |
Created at: March 6, 2026, 9:50 p.m.