Triple
T14455889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amélie Poulain |
E358457
|
entity |
| Predicate | notableObjectAssociated |
P2830
|
FINISHED |
| Object | photo booth album |
—
|
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: photo booth album | Statement: [Amélie Poulain, notableObjectAssociated, photo booth album]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableObjectAssociated Context triple: [Amélie Poulain, notableObjectAssociated, photo booth album]
-
A.
associatedItem
Indicates that one item is linked or connected to another in a relevant or context-dependent way, without specifying a more precise relationship.
-
B.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
-
C.
powerOfAssociatedObject
Indicates that one entity has a power level, strength, or capability that is associated with or derived from another related object.
-
D.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
E.
notStronglyAssociatedWith
Indicates that two entities have little to no meaningful or statistically significant relationship or connection with each other.
- F. None of above.
Provenance (3 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a9c0d48190ae015e5e0db806ca |
completed | April 14, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:19 a.m.