Triple
T31756488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pramila Jayapal |
E810566
|
entity |
| Predicate | twitter username |
P2943
|
FINISHED |
| Object |
PramilaJayapal
PramilaJayapal is the Twitter handle of Pramila Jayapal, a U.S. Congresswoman from Washington and a prominent progressive political leader.
|
E1976230
|
NE FINISHED |
How this triple was built (3 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: PramilaJayapal | Statement: [Pramila Jayapal, twitter username, PramilaJayapal]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PramilaJayapal Triple: [Pramila Jayapal, twitter username, PramilaJayapal]
Generated description
PramilaJayapal is the Twitter handle of Pramila Jayapal, a U.S. Congresswoman from Washington and a prominent progressive political leader.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twitter username Context triple: [Pramila Jayapal, twitter username, PramilaJayapal]
-
A.
twitterUsername
chosen
Indicates that one entity is the Twitter handle or username associated with another entity.
-
B.
twitterHandle
Indicates that one entity is the Twitter username or account identifier associated with another entity.
-
C.
instagramUsername
Indicates that one entity is the Instagram handle or username associated with another entity.
-
D.
screenName
Indicates the display or handle name associated with an entity, typically used as its visible identifier in user interfaces or social platforms.
-
E.
githubUsername
Indicates that one entity is the GitHub account username associated with another entity.
- F. None of above.
Provenance (6 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ab7cf30c81908c8fd2500c358e83 |
completed | May 3, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b948ac1d08190ae42c975a6e9a58c |
completed | June 12, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_6a2b96a258e08190878811121d63504c |
completed | June 12, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b9794d14081909374e7d0c582f4e0 |
completed | June 12, 2026, 5:22 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:29 p.m.