Triple
T9885978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Malinger |
E180932
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ross |
E87043
|
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: Ross | Statement: [Ross Malinger, givenName, Ross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Context triple: [Ross Malinger, givenName, Ross]
-
A.
Ross
Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
-
B.
Ross
chosen
Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
-
C.
Russ
Russ is a central white homeowner in Bruce Norris's play "Clybourne Park," whose grief and decisions over selling his house catalyze the drama’s exploration of race, property, and neighborhood change.
-
D.
Connell
Connell is a surname of Irish origin borne by various notable individuals across literature, sports, and public life.
-
E.
Roose
Roose is a suburb of Barrow-in-Furness in Cumbria, England, known primarily as a residential area served by its local railway station.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb45659748190a3ebd1abe23c8779 |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eafc76b0819098e481bb17a3af2b |
completed | April 5, 2026, 4:54 a.m. |
Created at: March 30, 2026, 8:38 p.m.