Triple
T19470007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machines Like Me |
E487095
|
entity |
| Predicate | hasAlternateHistoryElement |
P111585
|
FINISHED |
| Object | surviving Alan Turing |
—
|
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: surviving Alan Turing | Statement: [Machines Like Me, hasAlternateHistoryElement, surviving Alan Turing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternateHistoryElement Context triple: [Machines Like Me, hasAlternateHistoryElement, surviving Alan Turing]
-
A.
hasAlternateTimeline
chosen
Indicates that an entity exists or occurs in a different possible or parallel timeline relative to another reference timeline.
-
B.
hasAlternateTimelineConnectionWith
Indicates a relationship where two entities are linked through an alternate or parallel timeline, allowing events or states in one timeline to correspond to or influence those in the other.
-
C.
hasHistoricity
Indicates that something possesses historical existence, significance, or authenticity, rather than being purely fictional, mythical, or timeless.
-
D.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
E.
hasHistoricalSection
Indicates that something includes a dedicated part or segment that presents historical information or context.
- 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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633e6fd988190b79be580b65746fe |
completed | April 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.