Triple
T20712733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tote |
E509087
|
entity |
| Predicate | relationToPinterest |
P141191
|
FINISHED |
| Object | direct conceptual ancestor |
—
|
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: direct conceptual ancestor | Statement: [Tote, relationToPinterest, direct conceptual ancestor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationToPinterest Context triple: [Tote, relationToPinterest, direct conceptual ancestor]
-
A.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
B.
socialRelations
Indicates a relationship in which entities are connected through social ties, interactions, or roles within a social context.
-
C.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
D.
relationToUTMB
Indicates a relationship or association that an entity has with UTMB (e.g., affiliation, connection, or relevance to UTMB).
-
E.
plotRelation
Indicates a narrative connection between two story elements, such as events, characters, or subplots, showing how one influences or relates to the other within the overall plot.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ce84e48190922db93ed4b5d21b |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3caef50819093c8159fe8d6435b |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:15 p.m.