Triple
T13610052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Schwimmer |
E325163
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object | Ross Geller |
E325161
|
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 Geller | Statement: [David Schwimmer, characterRole, Ross Geller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Geller Context triple: [David Schwimmer, characterRole, Ross Geller]
-
A.
Ross Geller
chosen
Ross Geller is a paleontologist and one of the six central friends in the sitcom "Friends," known for his awkward charm, on-again off-again relationship with Rachel, and his nerdy, earnest personality.
-
B.
Mitchell Thomas Rozanski
Mitchell Thomas Rozanski is an American prelate of the Roman Catholic Church who serves as the Archbishop of St. Louis.
-
C.
Chandler Bing
Chandler Bing is a sarcastic, quick-witted data processor known for his awkward humor and commitment issues on the TV sitcom "Friends."
-
D.
Ben Geller
Ben Geller is the son of Ross Geller and Carol Willick on the television sitcom "Friends."
-
E.
Roy McAvoy
Roy McAvoy is a talented but reckless West Texas golf pro whose quest for redemption and glory drives the romantic sports comedy film "Tin Cup."
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8c6cde08190b79fdcde8a81ccc4 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:50 p.m.