Triple
T1869149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eve Harrington |
E34992
|
entity |
| Predicate | becomes |
P6579
|
FINISHED |
| Object | Margo Channing's understudy |
—
|
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: Margo Channing's understudy | Statement: [Eve Harrington, becomes, Margo Channing's understudy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: becomes Context triple: [Eve Harrington, becomes, Margo Channing's understudy]
-
A.
became
chosen
Indicates a change of state or status in which one entity transitions into or assumes the role, condition, or identity of another.
-
B.
after
Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
-
C.
beyond
Indicates that one entity is located or extends farther than, or outside the limits or scope of, another reference point or boundary.
-
D.
began
Indicates that one entity initiated or started an action, event, or state involving another entity or context.
-
E.
workBecame
Indicates that one work was transformed, adapted, or evolved into another work over time.
- 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb16c09e48190a345c95eab59fd87 |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe02c3c819093a4744b476106ca |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.