Triple
T17442036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Croz |
E424679
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Croz
Croz is a French surname most notably associated with Michel Croz, a pioneering 19th-century mountain guide and early Alpine climber.
|
E1269061
|
NE FINISHED |
How this triple was built (4 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: Croz | Statement: [Michel Croz, familyName, Croz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Croz Context triple: [Michel Croz, familyName, Croz]
-
A.
Cros
Cros is a French surname most notably associated with Charles Cros, a 19th-century poet and inventor linked to early sound recording and color photography experiments.
-
B.
Doro
Doro is a diminutive form of the given name Dorothy, often used as a short or affectionate nickname.
-
C.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
-
D.
Anytos
Anytos is a figure from Greek mythology known primarily as a Titan or divine guardian associated with the Arcadian goddess Despoina.
-
E.
Toshley
Toshley is a collectible gnome-themed legendary minion card from Hearthstone’s Goblins vs Gnomes expansion, known for generating Spare Parts spells through its battlecry and deathrattle effects.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Croz Triple: [Michel Croz, familyName, Croz]
Generated description
Croz is a French surname most notably associated with Michel Croz, a pioneering 19th-century mountain guide and early Alpine climber.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Croz Target entity description: Croz is a French surname most notably associated with Michel Croz, a pioneering 19th-century mountain guide and early Alpine climber.
-
A.
Cros
Cros is a French surname most notably associated with Charles Cros, a 19th-century poet and inventor linked to early sound recording and color photography experiments.
-
B.
Doro
Doro is a diminutive form of the given name Dorothy, often used as a short or affectionate nickname.
-
C.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
-
D.
Anytos
Anytos is a figure from Greek mythology known primarily as a Titan or divine guardian associated with the Arcadian goddess Despoina.
-
E.
Toshley
Toshley is a collectible gnome-themed legendary minion card from Hearthstone’s Goblins vs Gnomes expansion, known for generating Spare Parts spells through its battlecry and deathrattle effects.
- F. None of above. chosen
Provenance (5 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff82bbc819095dd0621137da809 |
completed | April 19, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01aff63d688190b8fa63c8edafc01c |
completed | May 11, 2026, 10:31 a.m. |
| NEDg | Description generation | batch_6a01b0a265348190a884a58f3caf54df |
completed | May 11, 2026, 10:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b1b0553c8190bb76969fe95154ff |
completed | May 11, 2026, 10:38 a.m. |
Created at: April 10, 2026, 5:46 a.m.