Triple
T32552855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zion |
E832018
|
entity |
| Predicate | firstFullDepiction |
P206309
|
FINISHED |
| Object | The Matrix Reloaded |
E96737
|
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: The Matrix Reloaded | Statement: [Zion, firstFullDepiction, The Matrix Reloaded]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFullDepiction Context triple: [Zion, firstFullDepiction, The Matrix Reloaded]
-
A.
firstMajorDepiction
Indicates that one entity is the earliest significant or primary representation or portrayal of another entity.
-
B.
firstPortrayedBy
Indicates that the subject character or role was originally depicted or played by the specified performer for the first time.
-
C.
firstDescribedAs
Indicates the original way or terms in which something was initially characterized, named, or documented.
-
D.
firstDemonstrated
Indicates that one entity was the earliest to show, prove, or exemplify a particular concept, method, or capability in relation to another entity or context.
-
E.
depictedSince
Indicates that an entity has been depicted or represented in some medium starting from a specific point in time.
- F. None of above. chosen
Provenance (5 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34860173bc819088aa14ed65686259 |
completed | June 18, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:02 a.m.