Triple
T19127107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Collier |
E468212
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Collier |
—
|
NE NERFINISHED |
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: Collier | Statement: [Joe Collier, familyName, Collier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collier Context triple: [Joe Collier, familyName, Collier]
-
A.
Collier
chosen
Collier is a surname most prominently associated in sports with Napheesa Collier, an American professional basketball player and WNBA All-Star.
-
B.
Kinlan
Kinlan is a surname of Irish origin borne by individuals such as actor Laurence Kinlan.
-
C.
Frederica
Frederica is a feminine given name of Germanic origin that has been borne by various European royals and notable women.
-
D.
Shusett
Shusett is the surname of Ronald Shusett, an American screenwriter and film producer best known for co-writing the science fiction classic "Alien."
-
E.
Shreve
Shreve is a surname most notably associated with American steamboat pioneer Henry Miller Shreve, after whom the city of Shreveport, Louisiana, is named.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cd851081909d5665b362ae08de |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.