Triple
T15308836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollow Man |
E365974
|
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: [Hollow Man, starring, Greg Grunberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Grunberg Context triple: [Hollow Man, 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.
Rob Golenberg
Rob Golenberg is a television producer and executive known for his work on high-profile drama series, including serving as an executive producer on "Your Honor."
-
C.
Mark Gruner
Mark Gruner is an American former child actor best known for his role in the 1978 thriller film "Jaws 2."
-
D.
Garth Drabinsky
Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
-
E.
Guy Nattiv
Guy Nattiv is an Israeli filmmaker and screenwriter known for his socially conscious dramas, including the Oscar-winning short film "Skin" and its feature-length adaptation.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56b4c6c881908ac7887a88f80829 |
completed | May 9, 2026, 3:45 p.m. |
Created at: April 10, 2026, 3:16 a.m.