Triple
T4945350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Friendster |
E111035
|
entity |
| Predicate | declineCharacterization |
P60093
|
FINISHED |
| Object | early example of social network failure |
—
|
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 example of social network failure | Statement: [Friendster, declineCharacterization, early example of social network failure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: declineCharacterization Context triple: [Friendster, declineCharacterization, early example of social network failure]
-
A.
decline
Indicates a decrease or reduction in the level, amount, quality, or intensity of something over time.
-
B.
decliningAs
Indicates that one entity is decreasing in value, intensity, or importance relative to another over time.
-
C.
declineAfter
Indicates that one entity or value decreases or worsens following another specified event, condition, or point in time.
-
D.
movementDecline
Indicates a reduction or worsening in the extent, frequency, or effectiveness of movement or mobility over time.
-
E.
declineTriggeredBy
Indicates that a decline event or state is caused or initiated by a specified triggering factor or condition.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70aa890c81908e685ec5e88cae1f |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6fa2d2088190ae444d3d0e47d5d2 |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1:31 p.m.