Triple
T10559013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haris Zambarloukos |
E249163
|
entity |
| Predicate | roleInDeathOnTheNile |
P94673
|
FINISHED |
| Object | cinematographer |
—
|
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: cinematographer | Statement: [Haris Zambarloukos, roleInDeathOnTheNile, cinematographer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDeathOnTheNile Context triple: [Haris Zambarloukos, roleInDeathOnTheNile, cinematographer]
-
A.
roleInDeaths
Indicates the role or involvement an entity had in causing, contributing to, or being responsible for one or more deaths.
-
B.
namedForRoleOfImhotep
Indicates that something is named after, or in reference to, the role or function historically associated with Imhotep.
-
C.
EgyptRole
Indicates that an entity holds a specific role, function, or capacity in relation to Egypt.
-
D.
associatedWithPharaoh
Indicates a relationship in which an entity has a connection, link, or involvement with a pharaoh, such as through service, rule, influence, or historical association.
-
E.
murderedIn
Indicates that one entity unlawfully killed another entity at or within a specified location.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5271e65688190bcf7931373d87f94 |
completed | April 7, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69d518fa0b4081909bffc936d78bd77b |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:35 p.m.