Triple
T38375352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyla Michaels |
E893606
|
entity |
| Predicate | powerOrRoleDuringCrisis |
P76241
|
FINISHED |
| Object | Harbinger for the Monitor |
—
|
NE NERFINISHED |
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: Harbinger for the Monitor | Statement: [Lyla Michaels, powerOrRoleDuringCrisis, Harbinger for the Monitor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerOrRoleDuringCrisis Context triple: [Lyla Michaels, powerOrRoleDuringCrisis, Harbinger for the Monitor]
-
A.
crisisPower
chosen
Indicates a relationship where an entity gains or exerts heightened influence, authority, or effectiveness specifically in situations of crisis or emergency.
-
B.
roleDuringTimeOfTroubles
Indicates the specific function, position, or responsibility an entity held during a defined period referred to as the "Time of Troubles."
-
C.
hasSuperpower
Indicates that one entity possesses a special or extraordinary power or ability beyond normal human capabilities.
-
D.
roleInDisasterMovie
Indicates that an entity has a specific acting or production role in a disaster-themed movie.
-
E.
occupationPower
Indicates a relationship where one party holds authoritative control, influence, or dominance over another within the context of an occupation or role.
- 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: May 3, 2026, 4:31 p.m.