Triple
T202937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irin Carmon |
E4544
|
entity |
| Predicate | spokeAt |
P10206
|
FINISHED |
| Object | various journalism conferences |
—
|
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: various journalism conferences | Statement: [Irin Carmon, spokeAt, various journalism conferences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokeAt Context triple: [Irin Carmon, spokeAt, various journalism conferences]
-
A.
succeededAsSpeakerBy
Indicates that one entity took over the role or position of speaker from another entity as their successor.
-
B.
spokenBefore
Indicates that one entity has spoken or produced speech earlier in time than another entity.
-
C.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
D.
speechDate
Indicates the date on which a particular speech was delivered.
-
E.
announcedThat
Indicates that one entity publicly communicated or declared a specific fact, decision, or piece of information about another entity or situation.
- F. None of above. chosen
Provenance (4 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f46b4f081909e5ee3718109a71f |
completed | Feb. 28, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69a25b4b42ec8190bef16bbbdd30a742 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25f4602c081909e89de233cbc5670 |
completed | Feb. 28, 2026, 3:21 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.