Triple
T9565771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth Holmes in The Dropout |
E230784
|
entity |
| Predicate | speaksWith |
P89831
|
FINISHED |
| Object | affected deep voice |
—
|
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: affected deep voice | Statement: [Elizabeth Holmes in The Dropout, speaksWith, affected deep voice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speaksWith Context triple: [Elizabeth Holmes in The Dropout, speaksWith, affected deep voice]
-
A.
speaksIn
Indicates that an entity uses or expresses itself in a particular language or medium when speaking.
-
B.
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.
-
C.
commonsSpeaker
Indicates that a person serves as the Speaker (presiding officer) of the House of Commons.
-
D.
spokenOn
Indicates that an utterance or speech act occurred at or during a specific time or date.
-
E.
speakers
Indicates that one or more entities produce spoken language or vocal communication, typically addressing an audience or participating in a conversation.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996c0a1081908a8356c454e60f74 |
completed | April 1, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
| PDg | Predicate description generation | batch_69ccd93e90048190a2b0d7c5c195ba98 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:04 p.m.