Triple
T28932547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Lode |
E733825
|
entity |
| Predicate | characterPlayedByDanDuryea |
P192837
|
FINISHED |
| Object |
Ned McCarty
Ned McCarty is a character from the 1954 Western film "Silver Lode," portrayed as a key figure in the movie’s tense drama of suspicion and revenge.
|
E1846859
|
NE FINISHED |
How this triple was built (3 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: Ned McCarty | Statement: [Silver Lode, characterPlayedByDanDuryea, Ned McCarty]
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: Ned McCarty Triple: [Silver Lode, characterPlayedByDanDuryea, Ned McCarty]
Generated description
Ned McCarty is a character from the 1954 Western film "Silver Lode," portrayed as a key figure in the movie’s tense drama of suspicion and revenge.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterPlayedByDanDuryea Context triple: [Silver Lode, characterPlayedByDanDuryea, Ned McCarty]
-
A.
humphreyBogartRole
Indicates that one entity is a role or character portrayed by Humphrey Bogart in a film, play, or other performance.
-
B.
characterPlayedBy Edward G. Robinson
Indicates that a given character is portrayed or acted by Edward G. Robinson.
-
C.
characterPlayedByMarlonBrando
Indicates that the character in question is portrayed or acted by Marlon Brando.
-
D.
characterPlayedBy_Charles Bronson
Indicates that a given character is portrayed or acted by Charles Bronson.
-
E.
characterPlayedByGeneHackman
Indicates that a given character is portrayed or acted by Gene Hackman.
- F. None of above. chosen
Provenance (7 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_69f05b0b49b08190b8994b339c7980f6 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a251f5499cc81909662a21fef7c3eca |
completed | June 7, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_6a2524104f248190b4e082174c0af5d6 |
completed | June 7, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a252473e3348190b28b26765408e7bb |
completed | June 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
| PDg | Predicate description generation | batch_69fd2cf29f808190856ab1d43a51d5c7 |
completed | May 8, 2026, 12:23 a.m. |
Created at: April 28, 2026, 8:29 a.m.