Triple
T37374364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Big Man |
E927933
|
entity |
| Predicate | containsPortrayalOf |
P185664
|
FINISHED |
| Object | George Armstrong Custer |
E124618
|
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: George Armstrong Custer | Statement: [Little Big Man, containsPortrayalOf, George Armstrong Custer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsPortrayalOf Context triple: [Little Big Man, containsPortrayalOf, George Armstrong Custer]
-
A.
depictionIncludes
chosen
Indicates that a depiction (such as an image, illustration, or visual representation) contains or shows the referenced entity as part of its visual content.
-
B.
hasPortrayalQuality
Indicates that something possesses a particular characteristic or standard of quality in how it is portrayed or represented.
-
C.
hasPortrayalIssues
Indicates that something is depicted or represented in a way that is problematic, inaccurate, or otherwise flawed.
-
D.
hasScreenPortrayal
Indicates that an entity is depicted or represented by a specific on-screen performance or portrayal, such as in film, television, or other visual media.
-
E.
portrayalRecognition
Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
- F. None of above.
Provenance (4 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a01a0b63d148190b10206509c0a0a5b |
completed | May 11, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a406cf124b8819095f5d4434cf739a5 |
completed | June 28, 2026, 12:38 a.m. |
| PD | Predicate disambiguation | batch_6a01a0245d4c8190a3c3fbbe83f0389d |
completed | May 11, 2026, 9:23 a.m. |
Created at: May 3, 2026, 4:16 p.m.