Triple
T34896344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesar |
E1006444
|
entity |
| Predicate | legacyInPlay |
P167485
|
FINISHED |
| Object | inspires Mark Antony’s funeral oration |
—
|
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: inspires Mark Antony’s funeral oration | Statement: [Caesar, legacyInPlay, inspires Mark Antony’s funeral oration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legacyInPlay Context triple: [Caesar, legacyInPlay, inspires Mark Antony’s funeral oration]
-
A.
legacyInNarrative
chosen
Indicates that an entity’s enduring impact, reputation, or influence is portrayed or explored within a particular narrative or story.
-
B.
legacyDescribedAs
Indicates that an entity’s enduring impact, reputation, or historical significance is characterized or portrayed in a particular way.
-
C.
franchiseLegacy
Indicates that an entity continues, inherits, or extends the storyline, brand, or creative universe established by an earlier work in the same franchise.
-
D.
honoursLegacyOf
Indicates that one entity actively preserves, respects, or celebrates the memory, values, or achievements of another entity from the past.
-
E.
usesLegacyOf
Indicates that one entity makes use of, builds upon, or derives benefit from the historical work, reputation, or established influence of another entity.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.