Triple
T8743467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nickel |
E207561
|
entity |
| Predicate | isAlloyingElementIn |
P65739
|
FINISHED |
| Object | Monel |
E207561
|
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: Monel | Statement: [Nickel, isAlloyingElementIn, Monel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monel Context triple: [Nickel, isAlloyingElementIn, Monel]
-
A.
Nickel
chosen
Nickel is a chemical element and transition metal known for its hardness, corrosion resistance, and widespread use in alloys and batteries.
-
B.
Inconel X
Inconel X is a high-strength, heat-resistant nickel-based superalloy engineered to withstand extreme temperatures and stresses in aerospace and other demanding applications.
-
C.
Copper
Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
-
D.
Copper
Copper is a period crime drama television series set in 19th-century New York City, created by Tom Fontana and others.
-
E.
Babbitt
Babbitt is a 1934 American film adaptation of Sinclair Lewis’s novel, featuring Guy Kibbee in the title role as a middle-class businessman confronting the emptiness of his conformist life.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee850b88190a0294bcbe4045aa3 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf518750948190a42ad8fc352ac851 |
completed | April 3, 2026, 5:35 a.m. |
Created at: March 30, 2026, 6:38 p.m.