Triple
T26865712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Keenan (writer, born 1964) |
E676460
|
entity |
| Predicate | hasPresentedOn |
P168767
|
FINISHED |
| Object | technology and society |
—
|
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: technology and society | Statement: [Thomas Keenan (writer, born 1964), hasPresentedOn, technology and society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPresentedOn Context triple: [Thomas Keenan (writer, born 1964), hasPresentedOn, technology and society]
-
A.
presentedBefore
Indicates that one entity was formally shown, introduced, or displayed to an audience or recipient prior to another entity in time.
-
B.
hasGivenLecturesOn
chosen
Indicates that one entity has delivered or presented lectures on a particular subject, topic, or field to an audience.
-
C.
workPresentedOn
Indicates that a work (such as a paper, artwork, or project) was formally presented or showcased at a particular event, venue, or platform.
-
D.
hasPublicAppearancesWith
Indicates that two entities have appeared together in public settings or events.
-
E.
presentsAt
Indicates that one entity delivers or gives a presentation, talk, or performance at a particular event, venue, or occasion.
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: April 27, 2026, 5:28 a.m.