Triple
T23067884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stheno |
E575101
|
entity |
| Predicate | reactionToMedusasDeath |
P150836
|
FINISHED |
| Object | rageAndLamentationInSomeVersions |
—
|
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: rageAndLamentationInSomeVersions | Statement: [Stheno, reactionToMedusasDeath, rageAndLamentationInSomeVersions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactionToMedusasDeath Context triple: [Stheno, reactionToMedusasDeath, rageAndLamentationInSomeVersions]
-
A.
fatherReactionToDeath
Indicates the emotional or behavioral response of a father to the death of someone (typically a close relation).
-
B.
reactionToPatricide
Indicates the emotional or behavioral response of an entity to the act of killing one’s own father.
-
C.
facesDeath
Indicates that an entity is confronting, experiencing, or is directly threatened by death or a life-ending situation.
-
D.
medusaFunction
Indicates a functional or operational relationship analogous to the mythological Medusa, where one entity exerts a transformative, paralyzing, or immobilizing effect on another.
-
E.
completionAfterDeathOf
Indicates that one event, process, or work is completed only after the death of a specified person.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a5aa4081909b3f0dc92877323d |
completed | April 29, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:55 p.m.