Triple
T372447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Zuckerberg |
E8295
|
entity |
| Predicate | hasGivenTalksOn |
P3281
|
FINISHED |
| Object | classics and online harassment |
—
|
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: classics and online harassment | Statement: [Donna Zuckerberg, hasGivenTalksOn, classics and online harassment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenTalksOn Context triple: [Donna Zuckerberg, hasGivenTalksOn, classics and online harassment]
-
A.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
B.
succeededAsSpeakerBy
Indicates that one entity took over the role or position of speaker from another entity as their successor.
-
C.
hasSpokenAbout
chosen
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
D.
conferenceAtTheTime
Indicates that an event or situation occurs during the time period in which a specified conference is taking place.
-
E.
hasConference
Indicates that an entity organizes, hosts, or is associated with a specific conference.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec018d508190b5687a9ba90b3092 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e960d880819084b3df4e5137a1e2 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.