Triple
T2433033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doom franchise |
E52890
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Phobos |
E113785
|
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: Phobos | Statement: [Doom franchise, setting, Phobos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phobos Context triple: [Doom franchise, setting, Phobos]
-
A.
Phobos
chosen
Phobos is the larger and innermost of Mars’s two small, irregularly shaped moons, known for its rapid orbit and heavily cratered surface.
-
B.
Deimos
Deimos is the smaller and outermost of Mars's two irregularly shaped moons, known for its dark, cratered surface and low gravity.
-
C.
Phobos (Fear)
Phobos (Fear) is the Greek personification of terror and panic, often depicted accompanying Ares in battle.
-
D.
Athis-Mons
Athis-Mons is a suburban commune in the southern outskirts of Paris, France, known for its proximity to major transport hubs and its location along the Seine and Orge rivers.
-
E.
Mimas
Mimas is a small, heavily cratered icy moon of Saturn best known for its large Herschel crater, which gives it a distinctive "Death Star"-like appearance.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9caaa208190994767f07aebd2b9 |
completed | March 7, 2026, 6:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf6b71c481908a5ff20edb09de14 |
completed | March 9, 2026, 12:39 p.m. |
Created at: March 6, 2026, 9:43 p.m.