Triple
T37534514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilary Farr |
E933157
|
entity |
| Predicate | hasTwitter |
P2866
|
FINISHED |
| Object | https://twitter.com/hilary_farr |
—
|
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: https://twitter.com/hilary_farr | Statement: [Hilary Farr, hasTwitter, https://twitter.com/hilary_farr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTwitter Context triple: [Hilary Farr, hasTwitter, https://twitter.com/hilary_farr]
-
A.
hasTikTokAccount
Indicates that an entity possesses or maintains a TikTok social media account.
-
B.
hasSocialService
Indicates that an entity provides, offers, or is associated with a social service to another entity or community.
-
C.
twitterHandle
chosen
Indicates that one entity is the Twitter username or account identifier associated with another entity.
-
D.
hasOfficialSocialMedia
Indicates that an entity maintains an officially recognized social media account or profile.
-
E.
twitterUsername
Indicates that one entity is the Twitter handle or username associated with another entity.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.