Triple
T6437702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charley |
E129938
|
entity |
| Predicate | deliversSpeechAbout |
P48429
|
FINISHED |
| Object | Willy Loman at the Requiem |
—
|
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: Willy Loman at the Requiem | Statement: [Charley, deliversSpeechAbout, Willy Loman at the Requiem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deliversSpeechAbout Context triple: [Charley, deliversSpeechAbout, Willy Loman at the Requiem]
-
A.
givesSpeechOn
chosen
Indicates that one entity delivers or presents a speech whose topic or subject matter concerns another entity.
-
B.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
C.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
-
D.
alsoSpeak
Indicates that an entity, in addition to another language or mode of communication already mentioned, speaks this additional language or communicates in this additional way.
-
E.
speaksIn
Indicates that an entity uses or expresses itself in a particular language or medium when speaking.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06964186c8190aeeb0038f4696032 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:45 p.m.