Triple
T5558925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Meretzky |
E145716
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Planetfall |
E528490
|
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: Planetfall | Statement: [Steve Meretzky, notableWork, Planetfall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Planetfall Context triple: [Steve Meretzky, notableWork, Planetfall]
-
A.
Planetfall
chosen
Planetfall is a classic 1983 interactive fiction video game by Infocom, renowned for its humorous sci-fi story and emotional impact.
-
B.
Redfall
Redfall is a cooperative open-world first-person shooter game featuring vampire-hunting action, developed by Arkane Studios and published by Bethesda Softworks.
-
C.
Deadfall
Deadfall is a 1993 neo-noir crime thriller film known for its convoluted plot and an over-the-top performance by Nicolas Cage.
-
D.
Deadfall
"Deadfall" is a novel by American author Patti Davis, known for its psychological drama and exploration of complex family relationships.
-
E.
Into the Badlands
Into the Badlands is a post-apocalyptic martial arts television series known for its stylized fight choreography and feudal, dystopian setting.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201529a88190bf0135e032b048ea |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059ebd4008190ba410fac13900fe0 |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:36 p.m.