Triple
T11597512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hattie Shaw |
E275041
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Chris Morgan |
E197196
|
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 Morgan | Statement: [Hattie Shaw, createdBy, Chris Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Morgan Context triple: [Hattie Shaw, createdBy, Chris Morgan]
-
A.
Chris Morgan
chosen
Chris Morgan is an American screenwriter and producer best known for his extensive work on the Fast & Furious film franchise.
-
B.
Christopher Murney
Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
-
C.
Mitch Rouse
Mitch Rouse is an American actor, comedian, and writer known for his work in film and television, including co-creating the series "Strangers with Candy" and appearing in numerous comedic roles.
-
D.
Mike Morgan
Mike Morgan is a benefactor known for sponsoring the Stonewall Book Award, which honors outstanding LGBTQ+ literature.
-
E.
Chris Sussman
Chris Sussman is a British television producer and comedy executive known for overseeing and developing numerous UK sitcoms and comedy series.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89549c870819086e16e9110bbad87 |
completed | April 10, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a7cad108819082eebb3ca130f5b8 |
completed | April 22, 2026, 10:49 a.m. |
Created at: April 8, 2026, 9:38 p.m.