Triple
T13091005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosamund Pike |
E310461
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pike |
E121062
|
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: Pike | Statement: [Rosamund Pike, familyName, Pike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pike Context triple: [Rosamund Pike, familyName, Pike]
-
A.
Pike
chosen
Pike is an English surname of Old English origin, often associated with people who lived near a pointed hill or carried a pike as a weapon.
-
B.
Pike of Stickle
Pike of Stickle is a prominent, steep-sided peak in England’s Lake District, famed for its distinctive conical shape and classic hiking and scrambling routes.
-
C.
Chub
Chub is a common nickname, notably associated with longtime Major League Baseball executive Chub Feeney.
-
D.
Creel
Creel is a small mountain town in Mexico’s Sierra Tarahumara that serves as a popular gateway for tourists exploring the Copper Canyon region.
-
E.
Karpf
Karpf is a surname of German origin, likely a variant of "Karp," borne by various individuals across German-speaking regions.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9813acbac8190b2fe5e07287457cf |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61629ac8190a2dfa11951a877f0 |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:03 p.m.