Triple
T14484400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Rank |
E359189
|
entity |
| Predicate | reactionToNoraSecret |
P114390
|
FINISHED |
| Object | sympathetic |
—
|
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: sympathetic | Statement: [Dr. Rank, reactionToNoraSecret, sympathetic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactionToNoraSecret Context triple: [Dr. Rank, reactionToNoraSecret, sympathetic]
-
A.
reactionToAffair
Indicates how an entity responds emotionally or behaviorally to an affair or infidelity involving another entity.
-
B.
reactionToProphecy
Indicates how an entity responds or behaves in consequence to a given prophecy.
-
C.
reactionToAccusation
Indicates how an entity responds or behaves when confronted with an accusation made by another entity.
-
D.
familySecretInvolves
Indicates that a particular family secret concerns, affects, or is about the specified entity or entities.
-
E.
secretRevealedThrough
Indicates that a secret becomes known or disclosed by means of a specified channel, method, or intermediary.
- F. None of above. chosen
Provenance (4 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924d7f4c8190b1f62b5ffe1ff649 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:20 a.m.