Triple
T7666490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert C. Martin |
E173635
|
entity |
| Predicate | givesTalksOn |
P48429
|
FINISHED |
| Object | clean code |
—
|
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: clean code | Statement: [Robert C. Martin, givesTalksOn, clean code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesTalksOn Context triple: [Robert C. Martin, givesTalksOn, clean code]
-
A.
gaveLecturesAt
Indicates that a person delivered lectures or taught courses at a particular institution or location.
-
B.
givesSpeechOn
chosen
Indicates that one entity delivers or presents a speech whose topic or subject matter concerns another entity.
-
C.
lecturesHeldIn
Indicates that a lecture event takes place or is conducted within a specific location or venue.
-
D.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
E.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4 p.m.