Triple
T13779465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Covert Affairs |
E331095
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Chris Ord |
E1064190
|
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: Chris Ord | Statement: [Covert Affairs, executiveProducer, Chris Ord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Ord Context triple: [Covert Affairs, executiveProducer, Chris Ord]
-
A.
Chris Ord
chosen
Chris Ord is a television writer and producer best known for co-creating the USA Network spy drama series "Covert Affairs."
-
B.
Steve Oram
Steve Oram is a British actor, writer, and comedian known for his work in darkly comic films such as "Sightseers" and various British television series.
-
C.
Glyn Jessop
Glyn Jessop is a former English cricketer who played at the first-class level.
-
D.
Keith Critchlow
Keith Critchlow was a British artist, geometer, and architectural theorist renowned for his work on sacred geometry and the design of religious and contemplative spaces.
-
E.
Barry Ackroyd
Barry Ackroyd is a British cinematographer renowned for his gritty, handheld visual style in films such as The Hurt Locker, United 93, and Captain Phillips.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0239cbfc81909064ac2457fdfff5 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1b8689c8190b3ef7416000ef89e |
completed | May 6, 2026, 8:16 p.m. |
Created at: April 9, 2026, 10:11 p.m.