Triple
T35482660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJ |
E1025507
|
entity |
| Predicate | isFollowedAcrossYearsBy |
P183340
|
FINISHED |
| Object | a reincarnating dog |
—
|
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: a reincarnating dog | Statement: [CJ, isFollowedAcrossYearsBy, a reincarnating dog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFollowedAcrossYearsBy Context triple: [CJ, isFollowedAcrossYearsBy, a reincarnating dog]
-
A.
followedIn
Indicates that one entity began following or subscribing to another entity, typically in a social or sequential context.
-
B.
followerOf
Indicates that one entity subscribes to, tracks, or regularly receives updates from another entity, typically in a social or informational context.
-
C.
followsBetween
Indicates that one entity comes after or succeeds another entity within a specified context or sequence.
-
D.
followsBy
Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
-
E.
followsTime
Indicates that one event, state, or time period occurs after and in temporal succession to another.
- 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79da8d8848190ab5ab1bdad95d58c |
completed | May 3, 2026, 7:10 p.m. |
Created at: May 3, 2026, 4:04 p.m.