Triple
T26715124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek Thompson |
E673528
|
entity |
| Predicate | notableRoleDuration |
P96412
|
FINISHED |
| Object | long-running role in Casualty |
—
|
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: long-running role in Casualty | Statement: [Derek Thompson, notableRoleDuration, long-running role in Casualty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRoleDuration Context triple: [Derek Thompson, notableRoleDuration, long-running role in Casualty]
-
A.
notablePortrayalPeriod
chosen
Indicates the time period during which a particular portrayal or depiction of something or someone is especially recognized or notable.
-
B.
notableWorkPeriod
Indicates the time span during which an entity produced or was associated with its most significant or well-known works.
-
C.
notableDriverTenure
Indicates that an individual had a significant or distinguished period serving as a driver for a particular entity or organization.
-
D.
notableHostTenure
Indicates that an entity is recognized for having a significant or distinguished period of serving as a host of something (e.g., a show, event, or program).
-
E.
notableOfficePeriod
Indicates that an entity held a particular office or position during a specified time period.
- 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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
Created at: April 27, 2026, 3:37 a.m.