Triple
T20335508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spungen |
E492595
|
entity |
| Predicate | hasNotableMediaCoverage |
P139736
|
FINISHED |
| Object | biographical books about Nancy Spungen |
—
|
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: biographical books about Nancy Spungen | Statement: [Spungen, hasNotableMediaCoverage, biographical books about Nancy Spungen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableMediaCoverage Context triple: [Spungen, hasNotableMediaCoverage, biographical books about Nancy Spungen]
-
A.
hasMediaCoverageSince
Indicates that an entity has had media coverage starting from a specified point in time and continuing from then onward.
-
B.
hasMediaCoverageLevel
Indicates the degree or extent to which something is covered or reported on by media outlets.
-
C.
hasMediaCoverageTopic
Indicates that a piece of media coverage is about, focused on, or thematically related to a particular topic.
-
D.
hasLocalMediaCoverageFrom
Indicates that an entity has been reported on or featured by a specified local media outlet or source.
-
E.
hasNotablePublicityReason
Indicates that an entity is associated with a specific reason or event that has led to notable public attention or publicity.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677eb4d5881908ea5ec5a1dd7eafa |
completed | April 20, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:23 a.m.