Triple
T18378001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cam Neely |
E446366
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cam |
—
|
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: Cam | Statement: [Cam Neely, givenName, Cam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cam Context triple: [Cam Neely, givenName, Cam]
-
A.
Cam
Cam is a village in Gloucestershire, England, situated near the Wildfowl and Wetlands Trust site at Slimbridge along the River Severn.
-
B.
Cam
Cam is a 2018 psychological horror-thriller film about a camgirl whose online identity is mysteriously stolen by a sinister doppelgänger.
-
C.
Cam
Cam is the standard three-letter astronomical abbreviation for the northern constellation Camelopardalis.
-
D.
Cam
chosen
Cam is the given name of Cam Neely, a former professional ice hockey player and current president of the Boston Bruins.
-
E.
Com
Com is a small coastal village in eastern Timor-Leste known for its beaches, fishing community, and growing eco-tourism.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179919c881908d55ea24f93c5827 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.