Triple
T26403712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haley Graham |
E663772
|
entity |
| Predicate | backstoryMisconception |
P28207
|
FINISHED |
| Object | believed to have abandoned her team |
—
|
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: believed to have abandoned her team | Statement: [Haley Graham, backstoryMisconception, believed to have abandoned her team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: backstoryMisconception Context triple: [Haley Graham, backstoryMisconception, believed to have abandoned her team]
-
A.
notableMisconception
chosen
Indicates that a commonly held but incorrect belief or understanding exists about the subject.
-
B.
expandsBackstoryOf
Indicates that one entity provides additional background details or context that elaborate on the history or origins of another entity.
-
C.
historicalClarification
Indicates that one entity provides corrective or contextual information to resolve misunderstandings or ambiguities about another entity’s historical facts or events.
-
D.
previouslyMisattributedTo
Indicates that something was earlier, but incorrectly, attributed or credited to a particular entity before being reassigned correctly.
-
E.
historicallyConfusedWith
Indicates that one entity has been mistaken for or identified as another entity in historical records, interpretations, or traditions.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610f61c5c81909e64c651752952b2 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:33 p.m.