Triple
T29931639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Abigail |
E760228
|
entity |
| Predicate | timeframeOfMainAppearances |
P97182
|
FINISHED |
| Object | early apocalypse period |
—
|
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: early apocalypse period | Statement: [Thomas Abigail, timeframeOfMainAppearances, early apocalypse period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeframeOfMainAppearances Context triple: [Thomas Abigail, timeframeOfMainAppearances, early apocalypse period]
-
A.
decadeOfMajorAppearances
Indicates the decade during which an entity had its most significant or prominent appearances or activities.
-
B.
timeOfAppearance
Indicates the specific time at which an entity or event becomes visible, present, or first occurs.
-
C.
hasNotableMultipleAppearances
Indicates that an entity appears multiple times in a context or medium in a way considered significant or noteworthy.
-
D.
appearsInFranchiseEra
Indicates that an entity (such as a work, character, or element) is part of or occurs within a specific era or phase of a larger franchise.
-
E.
appearsInTimePeriod
chosen
Indicates that an entity is present, active, or occurs within a specified time period.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f677d14aa48190b48340c9e6ed43b5 |
completed | May 2, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:18 p.m.