Triple
T33509516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major Frank Burns |
E858200
|
entity |
| Predicate | viewedByPeersAs |
P21336
|
FINISHED |
| Object | cowardly |
—
|
LITERAL 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: cowardly | Statement: [Major Frank Burns, viewedByPeersAs, cowardly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewedByPeersAs Context triple: [Major Frank Burns, viewedByPeersAs, cowardly]
-
A.
viewedBy
Indicates that something has been seen, observed, or watched by a particular entity.
-
B.
viewedBySomeAs
chosen
Indicates that at least one observer or group perceives or interprets an entity in a particular way or role.
-
C.
seenFrom
Indicates that one entity is visible or can be observed from the vantage point or location of another entity.
-
D.
hasViewThrough
Indicates that one entity can be seen or visually perceived through another entity acting as an intermediate medium or opening.
-
E.
viewedHistoryAs
Indicates that one entity has examined or interpreted another entity as a historical record or in the context of its past events.
- F. None of above.
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_69f3497721848190978fbee5e0a526f8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:38 a.m.