Triple
T8708010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Law |
E206698
|
entity |
| Predicate | hasRobotCharacter |
P12208
|
FINISHED |
| Object | Emma-2 |
E753573
|
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: Emma-2 | Statement: [First Law, hasRobotCharacter, Emma-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma-2 Context triple: [First Law, hasRobotCharacter, Emma-2]
-
A.
Emma-2
chosen
Emma-2 is a character from Isaac Asimov’s robot stories, appearing as an advanced robot governed by the Three Laws of Robotics.
-
B.
Lucy spacecraft
Lucy is a NASA space probe designed to explore multiple Trojan asteroids that share Jupiter’s orbit, aiming to study the remnants of the early solar system.
-
C.
Hermes spacecraft
The Hermes spacecraft is the advanced interplanetary vessel in Andy Weir’s novel and its film adaptation "The Martian," used by NASA’s Ares crew for travel between Earth and Mars.
-
D.
Clementine mission
The Clementine mission was a 1994 joint U.S. Department of Defense and NASA spacecraft mission primarily designed to test space-based technologies while mapping the Moon’s surface in detail.
-
E.
Ares Express
Ares Express is a science fiction novel by Ian McDonald set on a far-future, terraformed Mars, blending adventure, surreal imagery, and rich world-building.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58ffa6a481908866b6239d1d9b92 |
completed | March 31, 2026, 11:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4290a25c81908f62e91b6d363419 |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:35 p.m.