Triple
T7750996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allen & Company |
E175759
|
entity |
| Predicate | SunValleyConferenceFocus |
P78507
|
FINISHED |
| Object | media industry |
—
|
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: media industry | Statement: [Allen & Company, SunValleyConferenceFocus, media industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SunValleyConferenceFocus Context triple: [Allen & Company, SunValleyConferenceFocus, media industry]
-
A.
servesValley
Indicates that an entity provides service or support to a valley, such as supplying resources, functions, or benefits to that valley.
-
B.
SanFranciscoConference
Indicates that an entity is associated with, participates in, or is characterized by a conference held in San Francisco.
-
C.
MagicConference
Indicates that an event is a conference whose primary focus is on magic-related topics, activities, or discussions.
-
D.
keyConference
Indicates that an entity is a major or primary conference associated with another entity (such as a person, organization, or event).
-
E.
valleyKnownFor
Indicates that a particular valley is widely recognized or notable for a specific feature, product, activity, or characteristic.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c70524c3948190a163dc5f4ecdffa7 |
completed | March 27, 2026, 10:31 p.m. |
Created at: March 27, 2026, 4:08 p.m.