Triple
T28329351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Hurd |
E717494
|
entity |
| Predicate | positionOnDonaldTrump |
P56202
|
FINISHED |
| Object | critic of Donald Trump |
—
|
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: critic of Donald Trump | Statement: [Will Hurd, positionOnDonaldTrump, critic of Donald Trump]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnDonaldTrump Context triple: [Will Hurd, positionOnDonaldTrump, critic of Donald Trump]
-
A.
positionRelativeToWhiteHouse
Indicates the spatial position or location of an entity in relation to the White House.
-
B.
hasPoliticalPositionOn
chosen
Indicates that an entity holds or expresses a specific stance, view, or opinion regarding a political issue, policy, or topic.
-
C.
rightOfPresident
Indicates that one entity is positioned to the right side of the president in a spatial or ordering context.
-
D.
attendingOutgoingPresident
Indicates that an entity is participating in an event or function in the role of an outgoing president.
-
E.
positionInKremlin
Indicates that an entity holds or held an official role or office within the organizational or political structure of the Kremlin.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 28, 2026, 12:31 a.m.