Triple
T33854943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portman-Millepied |
E867746
|
entity |
| Predicate | associatedWithMarriageOf |
P110874
|
FINISHED |
| Object | Natalie Portman |
E49597
|
NE 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: Natalie Portman | Statement: [Portman-Millepied, associatedWithMarriageOf, Natalie Portman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMarriageOf Context triple: [Portman-Millepied, associatedWithMarriageOf, Natalie Portman]
-
A.
associatedWithWeddingOf
chosen
Indicates a relationship where something is connected or related to the wedding event of specific individuals.
-
B.
connectedThroughMarriageVia
Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
-
C.
resultedInMarriageTo
Indicates that one event, action, or circumstance led to or caused a marriage to occur between the related entities.
-
D.
marriageLinkedBranch
Indicates a connection between two branches or lineages that is established or traced through a marriage relationship.
-
E.
followsMarriageTo
Indicates that one event, state, or relationship occurs after and as a consequence of a marriage taking place.
- F. None of above.
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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3689c39d7481908a5d5fd908326294 |
completed | June 20, 2026, 12:38 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:47 a.m.