Triple
T31768480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Socks |
E810870
|
entity |
| Predicate | hasFanMail |
P192383
|
FINISHED |
| Object | received letters from children |
—
|
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: received letters from children | Statement: [Socks, hasFanMail, received letters from children]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanMail Context triple: [Socks, hasFanMail, received letters from children]
-
A.
hasFan
Indicates that an entity is the admirer, supporter, or enthusiast of another entity.
-
B.
writesFanMailFor
Indicates that one entity composes and sends fan mail directed toward another entity.
-
C.
isFanGiven
Indicates that one entity has been provided or supplied with a fan by another entity.
-
D.
hasMailingList
Indicates that an entity maintains or is associated with a mailing list for sending communications to subscribers.
-
E.
hasFanCommunity
Indicates that an entity is associated with a group of fans who actively follow, support, or engage around it.
- 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_69f348e463e08190b902d4819195e1f0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69fd098357348190a835c0b6d99857d2 |
completed | May 7, 2026, 9:52 p.m. |
Created at: April 30, 2026, 11:33 p.m.