Triple
T6153179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felicity |
E137254
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Greg Grunberg |
E276188
|
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: Greg Grunberg | Statement: [Felicity, starring, Greg Grunberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Grunberg Context triple: [Felicity, starring, Greg Grunberg]
-
A.
Greg Grunberg
chosen
Greg Grunberg is an American actor best known for his roles in television series such as "Heroes," "Alias," and "Felicity," as well as appearances in major film franchises.
-
B.
Mark Gruner
Mark Gruner is an American former child actor best known for his role in the 1978 thriller film "Jaws 2."
-
C.
Marty Grabstein
Marty Grabstein is an American actor and voice actor best known for voicing the timid pink dog Courage in the animated series "Courage the Cowardly Dog."
-
D.
Gary Levinsohn
Gary Levinsohn is a film producer best known for his work on major Hollywood features, including the acclaimed World War II drama "Saving Private Ryan."
-
E.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cfe20408190b5ec9b987e1a4206 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70adafa888190be606aba83a50302 |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 22, 2026, 4:16 p.m.